Video Information Research Articles

EXPLORING THE CAREER AND CONTRIBUTIONS OF JOSÉ RIBAMAR: AN INTERVIEW WITH THE PRESIDENT OF CFQ

Background: The interview with Professor José de Ribamar, conducted by Luís de Boni, addresses various aspects of his career and contributions to chemistry in Brazil. The conversation includes his experiences in teaching, research, and university administration, as well as his role as President of the Federal Council of Chemistry (CFQ). Aims: The primary aim of the interview is to highlight Professor Ribamar's achievements and challenges throughout his career, and to explore his views on chemistry and its impact on scientific and educational development in Brazil. Methods: The interview was conducted in a question-and-answer format, allowing Professor Ribamar to share his experiences and insights in a detailed and personal manner. The interview was recorded, transcribed, and is available in both text and video formats. Results: Professor Ribamar detailed his academic and professional journey, including his undergraduate and graduate studies in chemistry, his contributions as a professor at the Federal University of Maranhão (UFMA), and his initiatives as a course coordinator and department head. He also discussed the impact of his research and his vision for the future of chemistry, emphasizing the importance of artificial intelligence and algorithms in predicting chemical models. Discussion: The interview provided a comprehensive overview of Professor Ribamar's contributions to chemistry in Brazil. He emphasized the importance of education and ongoing research for scientific advancement, as well as the need to adapt to new technologies. The discussion also addressed the challenges the scientific community faces and the importance of interdisciplinary collaboration. Conclusion: Professor José Ribamar has significantly promoted and developed chemistry in Brazil in academia and public administration. His career illustrates the importance of dedication to education and research, and his reflections offer valuable lessons for future generations of scientists and educators. The interview serves as a testament to his lasting impact on the scientific community.

Analysis of Video Media Management Mode from Pear Video

Nowadays, the way of video communication has undergone great changes, the public has rarely watched videos through traditional TV, and the market users have been constantly divided. Tiktok, Kuaishou, micro-vision quickly occupied the short video market, B station occupied the video hegemon seat, “Love Youteng” three long-term in the long video industry top position. In this context, major TV stations and video media production teams have tried to transform and upgrade video media. Pear video is a short video platform in China so far, focusing on short information video and doing very successful in the field. From the current model of Pear video, we can study and analyze the trend of video media management.

Schoolchildren’s creation of educational videos as a way to organize integrative orthography revision (on the example of preparing for task 6 of the Russian language basic state examination (OGE))

The article considers the issue of finding effective ways to organise integrative orthography revision while preparing for the OGE in the Russian language. The aim is to propose, justify, and characterise one of such possible ways, namely the creation of educational videos by schoolchildren (using the example of preparing for task 6 of the Russian language OGE). The main research methods included theoretical (analysis of scientific and educational literature, normative documentation), empirical (scientific observation of the educational process in middle school and pedagogical experiment), and statistical (quantitative analysis of the obtained experimental data and their processing) ones. The article analyses the content and format of OGE task 6. Based on this analysis, the main reasons for the difficulties that schoolchildren experience in orthographic word parsing are revealed. The paper identifies the stages of work on creating educational videos (organisational, information search and processing, script writing, creating a presentation, voice acting, and recording a video). Moreover, the article describes the activities of the teacher and students at each stage. The experience of team designing an educational video discussing the topic "Prefixes ending in -z (-s)" is presented. Based on the analysis of the data from the control stage of the experiment, the study concludes that the proposed method of organising integrative orthography revision is effective. The materials presented in the article (an algorithm for doing OGE task 6; the author’s educational orthography videos) can be used in Russian language teachers’ practice to train students for completing orthographic tasks in the Russian language OGE.

Embedding the Use of Patient Multimedia Educational Resources Into Cardiac Acute Care: Prospective Observational Study.

Multimedia interventions may play an important role in improving patient care and reducing the time constraints of patient-clinician encounters. The "MyStay Cardiac" multimedia resource is an innovative program designed to be accessed by adult patients undergoing cardiac surgery. The purpose of this study was to evaluate the uptake of the MyStay Cardiac both during and following the COVID-19 pandemic. A prospective observational study design was used that involved the evaluation of program usage data available from the digital interface of the multimedia program. Data on usage patterns were analyzed for a 30-month period between August 2020 and January 2023. Usage patterns were compared during and following the lifting of COVID-19 pandemic restrictions. Uptake of the MyStay Cardiac was measured via the type and extent of user activity data captured by the web-based information system. Intensive care unit recovery information was the most accessed information, being viewed in approximately 7 of 10 usage sessions. Ward recovery (n=124/343, 36.2%), goal (n=114/343, 33.2%), and exercise (n=102/343, 29.7%) information were routinely accessed. Most sessions involved users exclusively viewing text-based information (n=210/343, 61.2%). However, in over one-third of sessions (n=132/342, 38.5%), users accessed video information. Most usage sessions occurred during the COVID-19 restriction phase of the study (August 2020-December 2021). Sessions in which video (P=.02, phi=0.124) and audio (P=.006, phi=0.161) media were accessed were significantly more likely to occur in the restriction phase compared to the postrestriction phase. This study found that the use of digital multimedia resources to support patient education was well received and integrated into their practice by cardiac nurses working in acute care during the COVID-19 pandemic. There was a pattern for greater usage of the MyStay Cardiac during the COVID-19 pandemic when access to the health service for nonfrontline, essential workers was limited.

Communicate, support and integrate: strategies to improve engagement with cardiac rehabilitation

Abstract Background Factors beyond Cardiac Rehabilitation (CR) service continue to negatively impact CR attendance and programme completion. Intrapersonal, socioeconomic, health perception/co-morbidity and logistical factors can have a significant impact on CR uptake. During the COVID-19 pandemic many services reconsidered their approach and utilised novel but more flexible delivery solutions (1). As clinical services remodel post-COVID we sought to incorporate the patient perspective. Purpose To identify and co-design strategies to improve engagement with CR. Methods Experience Based Co-Design (EBCD) is a Codesign methodology that incorporates the experiences of patients, caregivers and service providers (2). The project involved staff, patients and caregivers linked to CR across the region. In an iterative process, a literature review followed by focus groups and co-design workshops were conducted by the research team during 2019-2021. Results The co-design workshops identified numerous multifaceted issues in relation to engagement with CR. These can be described in three distinct themes. Communicate Misunderstandings about CR content and efficacy persist amongst patients and the public. Health Care Professionals must streamline, and focus information provided to patients in order to highlight the multifaceted benefits of CR, a patient-led information video for patients and public was produced and shared through CR networks. Support Patients require additional emotional and social support following a cardiac event. Significant concerns described by patients relate to family, work, socialising and future health. A supportive, facilitated discussion was warranted and a brief cardiac intervention (CABIN) was developed and will be tested in a feasibility trial. Integrate Following COVID-19 patients are more receptive to hybrid approaches to delivering CR. Diverse options for delivery of CR should be integrated into standard practice. Patient suggestions included online learning modules, social exercise, video libraries, online support meetings, text chat facilities, and regionally specific webpages. The study resulted in three key outputs; a short regional information video, a regional webpage and the brief supportive intervention, CABIN. Conclusion Co-designing with staff and patients provides relevant and important information about highlighting the importance of and accessing and delivering a service which can be incorporated into future service changes.

Multi-Directional Long-Term Recurrent Convolutional Network for Road Situation Recognition.

Understanding road conditions is essential for implementing effective road safety measures and driving solutions. Road situations encompass the day-to-day conditions of roads, including the presence of vehicles and pedestrians. Surveillance cameras strategically placed along streets have been instrumental in monitoring road situations and providing valuable information on pedestrians, moving vehicles, and objects within road environments. However, these video data and information are stored in large volumes, making analysis tedious and time-consuming. Deep learning models are increasingly utilized to monitor vehicles and identify and evaluate road and driving comfort situations. However, the current neural network model requires the recognition of situations using time-series video data. In this paper, we introduced a multi-directional detection model for road situations to uphold high accuracy. Deep learning methods often integrate long short-term memory (LSTM) into long-term recurrent network architectures. This approach effectively combines recurrent neural networks to capture temporal dependencies and convolutional neural networks (CNNs) to extract features from extensive video data. In our proposed method, we form a multi-directional long-term recurrent convolutional network approach with two groups equipped with CNN and two layers of LSTM. Additionally, we compare road situation recognition using convolutional neural networks, long short-term networks, and long-term recurrent convolutional networks. The paper presents a method for detecting and recognizing multi-directional road contexts using a modified LRCN. After balancing the dataset through data augmentation, the number of video files increased, resulting in our model achieving 91% accuracy, a significant improvement from the original dataset.

Study on Short Video Infomercial Avoidance Factors Based on the Perspective of Flow - Taking Tiktok App as an Example

Short video has become a national application at the same time, short video information flow advertising avoidance also continues to appear. Few studies have looked at the avoidance behavior of short video information streams from the perspective of psychological theory and social theory. Taking Tiktok APP as an example and combining the characteristics of short video information stream advertising, this study constructed a model of influencing factors of information stream advertising avoidance from the perspective of flow. In this paper, 220 samples were analyzed by questionnaire survey, and it was found that the scene adaptation of Tiktok information flow advertisements negatively affected the cognitive avoidance and emotional avoidance behaviors of advertisements through the flow state. The push accuracy of Tiktok Yin information flow advertisement negatively affects the cognitive avoidance, emotional avoidance and behavioral avoidance of advertisement through the flow state. The study of advertising avoidance behavior from the perspective of flow has enriched the theoretical perspective of the study of advertising avoidance in short video information flow, and also provided theoretical and practical suggestions for advertisers in short video advertising.

A cross-sectional analysis of the content and quality of presurgical infant orthopedics videos on YouTube.

Caregivers seeking additional information about Presurgical Infant Orthopedics (PSIO) may turn to online sources, but the quality of information on platforms like YouTube is uncertain. To investigate the content and quality of PSIO videos on YouTube. YouTube videos were searched using keywords related to PSIO appliances. Videos that met the eligibility criteria (n=52) were categorized as care provider or caregiver-based. Engagement metrics were analyzed and quality assessments were performed by two raters using the Global Quality Score (GQS), Video Information and Quality Index (VIQI), and Medical Quality Video Evaluation Tool (MQ-VET). Inter-rater and intra-rater correlations were high (r≥0.9; p<0.01), indicating excellent reliability. Strong correlations were observed between the GQS, VIQI, and MQ-VET scores (r: 0.86-0.91; p<0.01). Mean GQS (2.7±1.1), VIQI (13.0±4.1), and MQ-VET (42.6±12.4) scores indicated poor to moderate video quality. Most videos (73.1%) were in the care provider category and rated significantly higher (p<0.05) in quality than the caregiver category for all three indices, but not for video engagement metrics. YouTube PSIO videos are not comprehensive and lack quality. Caregivers of infants undertaking PSIO should seek advice from care providers and not rely solely on YouTube videos.

Exploring the Influence Factors of Purchase Intention of College Students by Short Video Opinion Leaders in Field of the Beauty

Over the past decade, the rapid development of new media and e-commerce have triggered the emergence of online opinion leaders. Simultaneously, consumers’ purchase intention has been swayed by some opinions expressed by online opinion leaders. Therefore, this paper aims to delve into the factors influencing the consumption of college students by opinion leaders in field of the beauty. It aims to explore the influence degree of short video opinion leaders on the purchase intention of college student consumers in three dimensions, including short video production, opinion leaders’ characteristics and short video content. Employing a questionnaire for data collection and SPSS 29.0 for analysis, the study uses methods such as reliability analysis, exploratory factor analysis, and regression analysis to validate the model and research hypotheses. The results of the study show that in the dimension of opinion leaders’ short video production, the attractiveness of the title and editing format of the short videos have a significant positive impact on the purchase intention of college students. Regarding opinion leaders’ characteristics, their popularity, professionalism, and interactivity exert a substantial positive influence on college students’ purchase intentions, whereas timeliness shows no significant impact. In terms of opinion leaders short video content, comparing products with multiple brands, promoting affordable substitutes, and vivid and interesting promotion discourse of opinion leaders all have a significant positive impact on the purchase intention. Finally, this paper provides suggestions for short video opinion leaders in field of the beauty.

Emotion recognition in user‐generated videos with long‐range correlation‐aware network

AbstractEmotion recognition in user‐generated videos plays an essential role in affective computing. In general, visual information directly affects human emotions, so the visual modality is significant for emotion recognition. Most classic approaches mainly focus on local temporal information of videos, which potentially restricts their capacity to encode the correlation of long‐range context. To address this issue, a novel network is proposed to recognize emotions in videos. To be specific, a spatio‐temporal correlation‐aware block is designed to depict the long‐range correlations between input tokens, where the convolutional layers are used to learn the local correlations and the inter‐image cross‐attention is designed to learn the long‐range and spatio‐temporal correlations between input tokens. To generate diverse and challenging samples, a dual‐augmentation fusion layer is devised, which fuses each frame with its corresponding frame in the temporal domain. To produce rich video clips, a long‐range sampling layer is designed, which generates clips in a wide range of spatial and temporal domains. Extensive experiments are conducted on two challenging video emotion datasets, namely VideoEmotion‐8 and Ekman‐6. The experimental results demonstrate that the proposed method obtains better performance than baseline methods. Moreover, the proposed method achieves state‐of‐the‐art results on the two datasets. The source code of the proposed network is available at: https://github.com/JinChow/LRCANet.

Genetic therapies for cardiomyopathy: survey of attitudes of the patient community for the CureHeart project

Cardiomyopathies are a group of inherited heart muscle disorders. Expressivity is variable and while sometimes mild, complications can result in sudden cardiac death (SCD) at any age, heart failure and stroke. In around a third of patients a monogenic cause is identifiable, and development of genetic therapies that aim to correct the underlying genetic defect is underway. Here we describe results of a survey designed to understand preliminary views of the patient community about genetic therapies in the context of disease burden. The internet survey was publicized with a bespoke information video via patient support groups in the UK and USA; 634 people responded of whom 96% had a personal and/or family history of cardiomyopathy. Findings show that concern about cardiomyopathy-related issues with a future dimension, such as disease progression, is significantly greater than concern about current issues. A total of 93.6% thought that genetic therapies should be developed for cardiomyopathy. A majority would consider participation in a genetic therapy trial in six scenarios varying by age and clinical situation significantly more in the scenario of an adult with symptomatic disease and evident progression than an asymptomatic adult with SCD risk, or a child. In all scenarios, a majority said that the chance genetic therapy would stop or slow progression, and risk of serious adverse and unintended effects, were important considerations. Qualitative analysis of free-text responses found that concern was often informed by family experience. Patient consideration of genetic therapy is likely to require individualized assessment of the benefits and risks.

Exoscopic Clipping of a Ruptured Posterior Communicating Artery Aneurysm Through a Minipterional Approach: 2-Dimensional Operative Video

Posterior communicating artery (PCoA) aneurysms represent approximately 15% to 25% of intracranial aneurysms and carry an estimated risk of rupture of 44%. 1-4 Surgical clipping of PCoA aneurysms bears notable challenges associated with operating in a confined space with limited visualization of deep structures. 1,5 We illustrate the case of a 54-year-old woman who presented with a seven-hour course of intense headaches, vomiting and loss of consciousness. Her neurological examination revealed she had a 4/5 left-sided hemiparesis, a Glasgow coma scale score of 12, and a Hunt and Hess score of 3. A head computed tomography scan without contrast showed subarachnoid hemorrhage in the basal cisterns and Sylvian fissures (Fisher grade 3). Digital subtraction angiography and three-dimensional reconstruction imaging revealed a right bilobed saccular PCoA aneurysm of 4.8 × 5.9 mm projecting anterior-inferiorly. After consideration of her clinical course and aneurysmal features, she underwent a right minipterional craniotomy for exoscopic clipping of the aneurysm neck. The patient tolerated the procedure well, her hemiparesis improved, and she was discharged with a modified Rankin scale score of 1 on postoperative day 3. Exoscopy offered high image quality and expanded 3-dimensional view with digital zoom during the aneurysm repair. 6,7 Although evidence suggests exoscopy is non-inferior to microscopy regarding surgery duration, safety, and outcomes, the capability of providing operator ergonomy during surgery is a worth-noting advantage. 8 IRB and patient consent declaration: This study was exempt from the Institution Review Board because patient consent was granted for the use of clinical information, images, and operative videos. The patient consented to the procedure, and the participants and any identifiable individuals consented to publication of his/her image.

An effective video inpainting technique using morphological Haar wavelet transform with krill herd based criminisi algorithm

In recent times, video inpainting techniques have intended to fill the missing areas or gaps in a video by utilizing known pixels. The variety in brightness or difference of the patches causes the state-of-the-art video inpainting techniques to exhibit high computation complexity and create seams in the target areas. To resolve these issues, this paper introduces a novel video inpainting technique that employs the Morphological Haar Wavelet Transform combined with the Krill Herd based Criminisi algorithm (MHWT-KHCA) to address the challenges of high computational demand and visible seam artifacts in current inpainting practices. The proposed MHWT-KHCA algorithm strategically reduces computation times and enhances the seamlessness of the inpainting process in videos. Through a series of experiments, the technique is validated against standard metrics such as peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM), where it demonstrates superior performance compared to existing methods. Additionally, the paper outlines potential real-world applications ranging from video restoration to real-time surveillance enhancement, highlighting the technique’s versatility and effectiveness. Future research directions include optimizing the algorithm for diverse video formats and integrating machine learning models to advance its capabilities further.

YouTube as a possible learning platform for patients and their family caregivers for gastrostomy tube feeding: A cross-sectional study.

Many patients and family caregivers have informational needs, especially regarding gastrostomy care and home gastrostomy tube feeding. YouTube is a potential accessible option for educational resources concerning these topics. This study aimed to explore the educational quality and content of informational YouTube videos. We used "gastrostomy," "G-tube," "enteral feeding," and "enteral nutrition," as search keywords on YouTube on October 3, 2021. A total of 229 videos were evaluated using the global quality scale (GQS) and modified DISCERN scoring system. Variables extracted from the videos included general features, video parameters, and content themes. The GQS and modified DISCERN scores were 3.31 ± 0.90 and 2.63 ± 1.23, respectively. There were educational quality and differences among videos uploaded by various agencies. Frequent video content themes included "cleaning and dressing a gastrostomy tube," "bolus method," and "replacing a balloon-type of gastrostomy tube." Results showed that YouTube can be a supplemental educational resource for people requiring gastrostomy care and for their caregivers. However, given the open-access nature of YouTube, healthcare professionals' guidance is needed for video selection. Healthcare professionals should know and use specific, reliable resources to effectively guide and educate patients with gastrostomy and their caregivers, enhancing their self-management skills and knowledge.

‘Are ad endorsements really annoying?’ The impact of advertising in short-form tourism videos on tourists’ information processing

ABSTRACT Short-form tourism videos show high effectiveness in online destination marketing. However, some disruptive factors (i.e. embedded endorsement advertisements) diminish their marketing effectiveness by burdening the viewer’s cognitive processing and breaking one’s online interactive experience with the original tourism-related content in the video. Using a between-subjects online experimental design and 354 valid data from short-form video users, this study explored the effect of interruption by advertisements on the cognitive experience evoked by information stimuli from the perspective of information processing. This study also assessed the difference in short-form tourism video information processing between disturbed and undisturbed situations. In general, results revealed that the formation of destination-related mental imagery in short-form tourism videos is influenced by information processing fluency, and co-predicted both the attitudes and behavioural intentions of travel consumers. Meanwhile, the presence of advertising information in short-form videos notably obstructed users’ information processing fluency as well as the formation of mental imagery, and it also attenuated their destination visit intentions. This study provides a theoretical basis for the moderate interpretation of endorsement advertisements in short-form tourism videos and sheds light on insights related to tourism marketing strategies for short-form tourism videos for relevant practising practitioners.

Improving young patient- practitioner communication about sexual health during medical visits.

Young people face barriers that lead to gaps in sexual and reproductive health care communications. Issues such as discomfort discussing sexual health lead to inadequate delivery of services resulting in unintended pregnancies and STIs. Closing this communication gap between patients and health care practitioners would improve communication and health outcomes. The objective of this study was to gain feedback from focus groups about: (a)barriers and facilitators to communication surrounding sexual health and (b)the feasibility and acceptability of a question prompt list (QPL) and informational video emphasizing asking questions about sexual health during medical visits as tools young people could use to be more involved during visits. Three focus groups were conducted: two with young adults (n=14) and one with practitioners (n=5) of sexual/reproductive health care services. Practitioners were recruited from healthcare clinics. Young adults were aged 18-22 years old. Participants identified barriers to communication such as embarrassment over sexual health topics and practitioner assumptions about patients' base of knowledge. A facilitator to communication was patient-friendly language. Focus group participants offered suggestions on how to improve the QPL as well as themes that should be covered in an educational video. Participants viewed the QPL and educational video as useful for encouraging conversations between patient and practitioner. Many barriers obstruct communication between young adults and practitioners on topics relating to sexual health. Both the QPL and an educational videocould be used to enhance patient-practitioner communication.

Адаптивная интеллектуальная обучающая система

&lt;p&gt;The goal of the work is to create a modern adaptive intelligent system using current machine learning technologies to automate a significant part of the teacher&amp;rsquo;s work. Existing intelligent systems, the purpose of which is to train students to work in various subject areas, currently have a set of various disadvantages, for example, the need to prepare educational material in a given format, which is sometimes a very labor-intensive task. In addition, in such systems there is a need to assess knowledge to correct the training plan for students, which requires various practical tasks for their formal presentation. In this case, practical assignments must be compiled by the course author, which can also be very labor-intensive. The novelty of the adaptive intelligent system presented in the work lies in the improvement of learning approaches using the latest machine learning methods. To help the teacher prepare educational material provides the ability to create video material automatically. This approach provides an opportunity for students to receive material not only in text form, but also in video format, without increasing the labor intensity on the part of the teacher. In addition, the teacher will be given the opportunity to manipulate versions of educational materials in accordance with the statistics provided by the system on student performance.&lt;/p&gt;

Playful Trauma: TikTok Creators and the Use of the Platformed Body in Times of War

Amid the Russian invasion of Ukraine, TikTok has emerged as a pivotal platform, where creators utilize its compressed video formats to mediate the harsh realities of war zones. In this article, we examine 97 videos produced by 12 Ukrainian and Russian TikTok creators in response to the 2022 war in Ukraine. We focus on the playful embodiment of trauma using digital ethnography, analyzing creators’ practices and their interconnected memetic communication on TikTok. We identified the use of play through three dynamic practices where platforms, bodies, and trauma converge: (1) the utilization of POV (point-of-view) aesthetic in shareable templates to convey the realities of war from engaging first-person perspectives; (2) the incorporation of dance as a means of embodied creative expression and amplification of trauma; and (3) the harnessing of platform features to facilitate whimsical dialogues with followers about life under war. We argue that playfulness is entrenched in and enacted through platform vernacular modes, driving creators to forge communal ties during adversities and shape the ongoing representation of trauma and its accelerated visibility in digital spaces. We present the concept of playful trauma as a framework for understanding the structural dissonance that arises when creators utilize their bodies alongside platform-specific humorous, ironic, or subversive dialects to perform and amplify the gravity of trauma. This tension provides a unique space for creators to convert their shared experiences of grief and resilience into participatory coping mechanisms. In doing so, they subject and harness their playful platformed body as both the medium and the message, documenting injustices, bearing witness, and galvanizing crowds into action during times of war.

Analysis of banana plant health using machine learning techniques

The Indian economy is greatly influenced by the Banana Industry, necessitating advancements in agricultural farming. Recent research emphasizes the imperative nature of addressing diseases that impact Banana Plants, with a particular focus on early detection to safeguard production. The urgency of early identification is underscored by the fact that diseases predominantly affect banana plant leaves. Automated systems that integrate machine learning and deep learning algorithms have proven to be effective in predicting diseases. This manuscript examines the prediction and detection of diseases in banana leaves, exploring various diseases, machine learning algorithms, and methodologies. The study makes a contribution by proposing two approaches for improved performance and suggesting future research directions. In summary, the objective is to advance understanding and stimulate progress in the prediction and detection of diseases in banana leaves. The need for enhanced disease identification processes is highlighted by the results of the survey. Existing models face a challenge due to their lack of rotation and scale invariance. While algorithms such as random forest and decision trees are less affected, initially convolutional neural networks (CNNs) is considered for disease prediction. Though the Convolutional Neural Network models demonstrated impressive accuracy in many research but it lacks in invariance to scale and rotation. Moreover, it is observed that due its inherent design it cannot be combined with feature extraction methods to identify the banana leaf diseases. Due to this reason two alternative models that combine ANN with scale-invariant Feature transform (SIFT) model or histogram of oriented gradients (HOG) combined with local binary patterns (LBP) model are suggested. The first model ANN with SIFT identify the disease by using the activation functions to process the features extracted by the SIFT by distinguishing the complex patterns. The second integrate the combined features of HOG and LBP to identify the disease thus by representing the local pattern and gradients in an image. This paves a way for the ANN to learn and identify the banana leaf disease. Moving forward, exploring datasets in video formats for disease detection in banana leaves through tailored machine learning algorithms presents a promising avenue for research.

Chinese Title Generation for Short Videos: Dataset, Metric and Algorithm.

Previous work for video captioning aims to objectively describe the video content but the captions lack human interest and attractiveness, limiting its practical application scenarios. The intention of video title generation (video titling) is to produce attractive titles, but there is a lack of benchmarks. This work offers CREATE, the first large-scale Chinese shoRt vidEo retrievAl and Title gEneration dataset, to assist research and applications in video titling, video captioning, and video retrieval in Chinese. CREATE comprises a high-quality labeled 210 K dataset and two web-scale 3 M and 10 M pre-training datasets, covering 51 categories, 50K+ tags, 537K+ manually annotated titles and captions, and 10M+ short videos with original video information. This work presents ACTEr, a unique Attractiveness-Consensus-based Title Evaluation, to objectively evaluate the quality of video title generation. This metric measures the semantic correlation between the candidate (model-generated title) and references (manual-labeled titles) and introduces attractive consensus weights to assess the attractiveness and relevance of the video title. Accordingly, this work proposes a novel multi-modal ALignment WIth Generation model, ALWIG, as one strong baseline to aid future model development. With the help of a tag-driven video-text alignment module and a GPT-based generation module, this model achieves video titling, captioning, and retrieval simultaneously. We believe that the release of the CREATE dataset, ACTEr metric, and ALWIG model will encourage in-depth research on the analysis and creation of Chinese short videos.