Video Content Characteristics Research Articles

Application of video adaptive sampling based on soft computing in higher education evaluation and E-learning interactive environment

The level of teaching quality largely reflects the overall strength of universities and has a direct impact on the quality of cultivating high-quality talents. In this context, higher education institutions are constantly striving to explore innovative methods, but this diverse educational environment also brings challenges to the evaluation methods of teacher teaching quality. This article explores the application of video adaptive sampling in AI data analysis of university education evaluation based on soft computing technology. In order to solve the data sampling problem in university education evaluation, this paper proposes a video adaptive sampling method based on soft computing. In this paper, an E-learning virtual interactive system is designed, multimedia teaching materials matching the requirements of E-learning environment are created, tools suitable for E-learning virtual interactive environment are selected and integrated, soft computing technology is adopted, intelligent algorithms and data analysis methods are combined. By extracting and analyzing the key information in the video, the video sampling strategy is dynamically adjusted to realize the adaptive video sampling. Modeling the content characteristics of videos through fuzzy logic, and using genetic algorithms to optimize the sampling frequency and accuracy of videos. The experimental results indicate that the video adaptive sampling method based on soft computing can effectively improve the accuracy and efficiency of AI data analysis in university education evaluation. Compared with traditional fixed sampling methods, this method can dynamically adjust according to the characteristics of video content, reduce redundant data sampling, and improve the accuracy of data analysis.

Research on the Influence of Video Content Features on User Behaviour

Research on user engagement behaviours within User-Generated Content (UGC) video platforms is notably scarce, despite previous studies predominantly focusing on user-level information. This study contends that enriched video information holds significant value. Its objective is to provide a profound understanding of the influence mechanisms of video content features on user engagement behaviours within UGC video platforms. Combining exploratory and quantitative methodologies, the research introduces a highly detailed framework for video content features, covering both cognitive and emotional dimensions. The framework encompasses content richness at the video level and emotional features at the user level. Addressing user behaviours, the study encompasses liking, sharing, saving, and tipping, representing users' varied contributions to the platform. The triggers for user behaviours often originate from diverse motivational intentions. The research focuses on a dual perspective, blending user and video viewpoints when examining video content features. Utilizing linear regression equations grounded in social identity theory and emotional support theory, the study explains the role of video content features in triggering user engagement behaviours. Age and gender serve as moderator variables, exploring behavioural disparities between male and female users and across different age groups. Findings indicate that factors triggering user likes and shares primarily stem from the level of interaction in the comment section, while tipping contributions and video saves are influenced by emotional support during viewing. The study also reveals that sadness enhances user participation intentions, while positive emotions in video characters or commenters diminish user engagement intentions. Lastly, the research adopts web crawling through legally accessible interfaces as the primary data collection method, encompassing 435 videos from 25 food category video authors.

Review of Research on E-commerce Short Videos

Short videos are innovative video content created through simple and quick shooting and post-production using smart devices, allowing for instant publication and sharing on social media platforms. Although there are various definitions, short videos are typically considered to be limited to a few minutes in length, easily watchable, diverse in content form, and highly engaging for users. The short video e-commerce model revolves around consumers, utilizing the creation of short video content embedded with product information to synchronize the circulation of products and content, making it one of the primary business models. Its development can be divided into three stages, covering the processes of mutual integration between short video platforms and e-commerce platforms, rapid development, and deep integration. The operational models of short video e-commerce mainly include three forms: "short video + e-commerce," "e-commerce + short video," and "short video e-commerce platform," each with its own characteristics. E-commerce short videos use short videos as carriers to promote product information through content marketing. Users participate in purchase decisions by watching videos, liking, commenting, and other behaviors, representing a specific manifestation of the "short video + e-commerce" model. During the marketing process, users experience sequential transitions from the "viewing" scene to other scenes, with the characteristics of short video content playing an important role in influencing user purchasing decisions.

Learning topic emotion and logical semantic for video paragraph captioning

Video paragraph captioning aims to generate multiple descriptive sentences for videos, which strive to replicate human writing in accuracy, logicality, and richness. However, current research focuses on the accuracy and temporal order of events, ignoring emotion and other critical logical relations embedded in human language, such as causal and adversative relations. The ignorance impairs the reasonable transition across generated event descriptions and restricts the vividness of expression, resulting in a gap from the standard of human language. To resolve the problem, a framework that integrates logic and emotion representation learning is proposed to narrow the gap. Concretely, a large-scale inter-event relation corpus is constructed based on the EMVPC dataset. This corpus is named EMVPC-EvtRel (standing for “EMVPC-Event Relations”) and contains six widely-used logical relations in human writing, 127 explicit inter-sentence connectives, and over 20,000 pairs of event segments with newly annotated logical relations. A logical semantic representation learning method is developed for recognizing the dependencies between visual events, thereby enhancing the characteristics of video contents and boosting the logicality of generated paragraphs. Moreover, a fine-grained emotion recognition module is designed to uncover emotion features embedded in videos. Finally, experimental results on the EMVPC dataset demonstrate the superiority of the proposed method compared to existing state-of-the-art approaches.

Viewer In-Consumption Engagement in Pro-Environmental Tourism Videos: A Video Analytics Approach

Underpinned by Media Richness Theory and the Elaboration Likelihood Model, this study examines the impacts of the content features (i.e., informativeness and visual variation) of pro-environmental tourism videos on viewers’ in-consumption engagement. Pro-environmental tourism videos were analyzed at the scene level using advanced video analytics. The findings of this study show that there are inverted U-shape effects of pro-environmental tourism video informativeness and visual variation on viewers’ in-consumption engagement. This study advances the sustainable tourism literature by providing theoretical explanations on how and why pro-environmental tourism video content features influence communication effectiveness through the lens of in-consumption engagement. This study provides practical implications for content creators on how to design effective pro-environmental videos in tourism by highlighting the balance of informativeness and visual variations.

How do short video content characteristics influence short video app addiction An affective response perspective

How do short video content characteristics influence short video app addiction An affective response perspective

How do short video content characteristics influence short video app addiction An affective response perspective

How do short video content characteristics influence short video app addiction An affective response perspective

Impact of video content on audience engagement: a study of social media among ukrainian fashion brands

The aim of the artice. The aim of the research was to study the effectiveness of audience engagement through video content in social media, targeted at Ukrainian clothing brands. To achieve this goal, the following tasks were identified and addressed: analyzing the target audience, gathering information about the pages of selected clothing brands on social media, determining the audience's activity regarding the video content of the "STAFF" brand, and analyzing trends and characteristics of video content on various platforms. Important indicators were identified that reveal trends in short videos and their interaction on social media. Key aspects under analysis included the duration of video content and the audience's response. To understand the impact of short video clips on consumers, an analysis of video duration was conducted. The median duration of video clips was measured for each individual page. Analysis results. This scientific article has illuminated significant aspects of video marketing in social media and underscored the necessity of meticulous strategy development to achieve success. The research has revealed that the effectiveness of video marketing hinges on well-defined objectives, understanding the needs of the target audience, prudent budgeting, selecting the optimal type of video and distribution platforms, optimization for conversion, fostering an emotional bond with viewers, and active engagement with the audience. Conclusions and directions for further research. The need for further scientific research in the field of video marketing is emphasized to unravel unresolved aspects, including the assessment of result effectiveness, customization, and targeting of video content, alongside exploring the latest trends and technologies. Incorporating novel innovative approaches in video marketing will enhance the efficacy of brand and product promotion. The overarching idea of the article revolves around the notion that the success of video marketing in social media depends on crafting a strategy that considers audience needs and employs effective techniques to attract attention and engage viewers. Research in this domain holds substantial potential for refining video marketing strategies and ensuring success in branding and product promotion within the digital realm.

EMERGING DESIGN TRENDS IN SOCIAL MEDIA AND ITS IMPACT ON BUSINESS EFFICIENCY AND GROWTH IN INDIA

Until the late 1990s, business was not accustomed to radio, newspapers, or television. However, the media revolution began in 2000 with the birth of social media. Like other forms of media, social networks are a means of communication. However, it provides more social interaction using highly available and scalable methods. Customers and businesses alike can benefit from social media. The effectiveness of social media marketing strategies heavily relies on the visual designs used in content creation, making it an essential element for businesses to consider.This research paper explores the impact of emerging design trends in social media on business efficiency and growth in India. Social media has become an integral part of the marketing strategy for businesses of all sizes in India. With the rise of new technologies, social media platforms are constantly evolving, and design trends are emerging to keep up with the changing needs and preferences of users. This research paper aims to analyze the impact of these emerging design trends on the efficiency and growth of businesses in India. The research methodology involves a systematic review of existing literature, followed by qualitative research using case studies and interviews with industry experts. The findings suggest that businesses that adopt emerging design trends in social media can achieve higher levels of engagement, increased brand awareness, and improved customer loyalty, leading to greater efficiency and growth. The paper concludes with recommendations for businesses in India to incorporate emerging design trends in their social media strategy to enhance their efficiency and growth in the competitive market.Some of the emerging design trends that have been identified and analyzed in this research paper include the use of video content, interactive features, user-generated content, and personalized marketing. These trends have been found to have a significant impact on user engagement and brand perception, thereby affecting business efficiency and growth.The research findings also indicate that while the adoption of emerging design trends can lead to benefits for businesses, it is essential to consider the target audience and their preferences when implementing these trends. For instance, younger audiences are more likely to engage with video content and interactive features, while older audiences may prefer more traditional forms of marketing. Therefore, businesses need to tailor their social media strategy based on their target audience to achieve maximum benefits.Overall, this research paper highlights the importance of incorporating emerging design trends in social media strategy for businesses in India. As social media continues to evolve, businesses need to stay up-to-date with the latest design trends to remain relevant and competitive in the market. By adopting these trends, businesses can enhance their efficiency and growth, leading to greater success in the long run.

Ebublio: Edge-Assisted Multiuser 360° Video Streaming

As one of the most important manifestations of virtual reality (VR), 3600 panoramic videos in recent years have experienced booming development due to the desire for immersive and interactive experiences. Compared to traditional videos, 3600 videos are featured with uncertain user field of view (FoV), more sensitive delay tolerance, and much higher bandwidth requirement, bringing unprecedented challenges to 3600 video streaming. Meanwhile, the development of 5G and mobile edge computing starts to pave the way for high-bandwidth low-latency video streaming. Some preliminary works focus on either individual FoV prediction or multi-user QoE oriented cache strategy design, while how to design a holistic solution toward optimizing the overall user QoE with considerations over fairness and long-term system cost remains a non-trivial problem. In this paper, we propose Ebublio, a novel intelligent edge caching framework to address the aforementioned challenges in 3600 video streaming. Ebublio consists of a collaborative FoV prediction (CFP) module and a long-term tile caching optimization (LTO) module to jointly optimize the long-term user QoE and system cost. The former module integrates the features of video content, user trajectory, and other users records for combined prediction. The latter one employs the Lyapunov framework and a subgradient optimization approach towards the optimal caching replacement policy. Our trace-driven evaluation demonstrates the superiority of our framework, with about 42% improvement in FoV prediction, and 36% improvement in QoE at similar traffic consumption.

Measurement of a Large-Scale Short-Video Service Over Mobile and Wireless Networks

Short-video sharing services have seen explosive growth in recent years. Compared to conventional video sharing platforms, these have very different characteristics which are far from well-understood. This work aims at filling the gap by measuring and analyzing detailed application-level performance data from a top-10 short video service in China. The application-level data offered detailed and rare insights into many performance metrics of the service, which are otherwise inaccessible to external measurements. The service has a scale of over one billion daily views just for the mobile and wireless segments of the service. Our datasets covered over 22 billion video playbacks, over 100 million video files, served by over 5,000 servers to users across 35 provinces and 13 ISPs in China. We analyzed three aspects of the service: (a) video content characteristics; (b) network analytics; and (c) video streaming analytics. Our results revealed significant differences from conventional video-sharing platforms. These findings will have implications for system designs at all levels. The data also enabled us to conduct an indirect network performance measurement of mobile and wireless network services across China, as experienced by the service. These results offer rare insights into mobile and wireless networks' real-world performance in a large country.

Short video marketing: what, when and how short-branded videos facilitate consumer engagement

PurposeThis study explores whether and how four main factors of short-branded video content (content matching, information relevance, storytelling and emotionality) facilitate consumer engagement (likes, comments and shares), as well as the moderating effect of the release time (morning, afternoon and evening) in such relationships.Design/methodology/approachThis study uses Python to write programs to crawl relevant data information, such as consumer engagement and short video release time. It combines coding methods to empirically analyze the impact of short-branded video content characteristics on consumer engagement. A total of 10,240 Weibo short videos (total duration: 238.645 h) from 122 well-known brands are utilized as research objects.FindingsEmpirical results show that the content characteristics of short videos significantly affected consumer engagement. Furthermore, the release time of videos significantly moderated the relationship between the emotionality of short videos and consumer engagement. Content released in the morning enhanced the positive impact of warmth, excitement and joy on consumer engagement, compared to that released in the afternoon.Practical implicationsThe findings provide new insights for the dissemination of products and brand culture through short videos. The authors suggest that enterprises that use brand videos consider content matching, information relevance, storytelling and emotionality in their design.Originality/valueFrom a broader perspective, this study constructs a new method for comprehensively evaluating short-branded video content, based on four dimensions (content matching, information relevance, storytelling and emotionality) and explores the value of these dimensions for creating social media marketing success, such as via consumer engagement.

Why time flies? The role of immersion in short video usage behavior.

Short videos are becoming increasingly popular globally, and users are devoting more time to viewing them. However, few studies have examined the characteristics of short video content and the technical features that are related to media use. The present study developed a model to explore the influence of technological affordances on short video usage and considered innovation in terms of format, setting, and content. A total of 496 viewers of short videos from China were surveyed. The participants completed 31 Likert-scale items. The study used maximum likelihood estimation modeling. The results revealed that perceived novelty and content value (entertainment and irritation) affected immersion positively, consequently influencing intentions for reuse and recommendation. The ease of navigating an application, narrative structure, and information value had no significant effect on immersion. These findings have confirmed that perceived situation affordance and the affective affordance of short videos in digital environments that are managed by intelligent algorithms. It is necessary to analyze the potential impact of different affordances specifically.

Content-aware QoE optimization in MEC-assisted Mobile video streaming

The traditional client-based HTTP adaptation strategies do not explicitly coordinate between the clients, servers, and cellular networks. A lack of coordination leads to suboptimal user experience. In addition to optimizing Quality of Experience (QoE), other challenges in adapting HTTP adaptive streaming (HAS) to the cellular environment are overcoming unfair allocation of the video rate and inefficient utilization of the bandwidth under the high-dynamics cellular links. Furthermore, the majority of the adaptive strategies ignore important video content characteristics and HAS client information, such as segment duration, buffer size, and video duration, in the video quality selection process. In this paper, we present a content-aware hybrid multi-access edge computing (MEC)-assisted quality adaptation algorithm by taking advantage of the capabilities of edge cloud computing. The proposed algorithm exploits video content characteristics, HAS client settings, and application-layer information to jointly adapt the bitrates of multiple clients. We design separate strategies to optimize the performance of short and long duration videos. We then demonstrate the efficiency of our algorithm against client-based solutions as well as MEC-assisted algorithms. The proposed algorithm guarantees high QoE, equitably selects video rates for clients, and efficiently utilizes the bandwidth for both short and long duration videos. The results from our extensive experiments reveal that the proposed long video adaptation algorithm outperforms state-of-the-art algorithms, with improvements in average video rate, QoE, fairness, and bandwidth utilization of 0.4%–12.3%, 8%–65%, 3.3%–5.7%, and 60%–130%, respectively. Furthermore, when high bandwidth is available to competing clients, the proposed short video adaptation algorithm improves QoE by 11.1% compared to the long video adaptation algorithm.

Reliability of open globe injury repair surgical videos on the internet for resident education

Introduction This study aimed to assess quality of surgical training videos for management of open globe injury (OGI) on online platforms. Material and Methods Twenty-three websites with surgical training videos were queried using the search keyword “open globe repair.” Video content characteristics and quality assessment scores using Sandvik score, Health on the Net Foundation Code of Conduct (HON code), mDISCERN scoring, and global quality score (GQS) were recorded. To evaluate the relevance of the surgical videos to the surgical procedure, steps were analyzed as per the Ophthalmology Surgical Competency Assessment Rubric (OSCAR) for Open Globe Surgical Management. Results One hundred and twenty-three videos were evaluated, and 63 analyzed. Majority videos were uploaded by solitary ophthalmologists (53/63; 84.13%). Mean video quality score (VQS) and GIS scores were 6.55 ± 1.59 and 7.95 ± 1.39, respectively. Mean mDISCERN, GQS, HON Code and Sandvik scores for all the videos were 2.87 ± 1.07, 3.77 ± 1.08, 5.14 ± 1.67, 12.06 ± 1.84, respectively. Videos with background audio and descriptive subtitles had significantly better quality ( p < 0.05). All Quality assessment scores showed a statistically significant ( p < 0.000) positive correlation with each other. On linear regression analysis, number of video likes, comments and views had a significant ( p < 0.05) positive relation with quality of video, whereas video length showed a negative relation with different scores. Conclusion Nearly two-thirds of surgical videos showing OGI repair had good quality assessment scores. Consensus guidelines should be developed to guide uploaders as regards the essential features required for good quality surgical videos using a standardized rubric.

국내 CCM 영상 콘텐츠의 특성 분석 - 2010년대 이후 유튜브 콘텐츠를 중심으로 -

The production of various CCM video contents are increasing since Youtube officially launched in South Korea. Currently, the video production of CCM-related contents has become an essential element for the growth of the domestic CCM culture. However, there are no studies related to this. It was thought that discussions on related research should be actively conducted to support such sustainable development. Thus, this study is intended to help understand production of CCM video contents through YouTube and its impact on domestic CCM culture. The study primarily analyzed channels that were established starting from 2010 thus selecting 「J-US Ministry」, 「WELOVE CREATIVE TEAM」, and 「Isaiah 6tyOn e」. From each channel, the characteristics of domestic CCM-related video contents were understood and analyzed. First, the characteristics of the online content were primarily used. Content was produced using themes and shooting techniques beyond the constraints of time and space. Contrasted to previous familiar settings, it was found that the content used more diverse settings. There were also new attempts in stage directing and performance methods. Second, lyrics were expressed differently. The lyrics honed in on concepts that introduced commonly used words such as, ‘empathy’, and more abstract words and combination of words such as, ‘time’ and ‘breakthrough’. Third, there was a musical attempt that went beyond the existing norm. It was analyzed that a leap of fifth or wider interval was used to go beyond the general characteristics of worship music, and the mood (atmosphere) of the music was expressed by utilizing a rather high note of treble G#. This study has limitations in that it only dealt with a narrow pool of domestic CCM-related contents from YouTube. Thus, further related studies are expected.

#Oculoplastics: An Analysis of TikTok's Top Oculoplastics Content.

To analyze the source and quality of oculoplastics-related content on TikTok, a popular social media platform. Twenty-five oculoplastics-related hashtags were queried. The top 20 videos for each hashtag were included. The number of views, likes, comments, and shares were recorded for each video. Each video was also categorized by the account owner and by video content characteristics. A subanalysis of the educational videos was conducted using the mDISCERN, Patient Education Materials Assessment Tool, and modified MICI scores to assess video quality, understandability and actionability, and medical accuracy, respectively. The included 386 videos amassed 218,997,134 views, 15,033,220 likes, 148,099 comments, and 276,445 shares. Patients were the leading content creators (38.1%), followed by nonophthalmology MDs/DOs (25.6%), and oculoplastic surgeons/ophthalmologists (16.3%). Physician-created videos received more visibility than nonphysician-created videos (median of 23,600 views and 22 shares), though this did not reach statistical significance. However, oculoplastic surgeon-posted content received the lowest median views and shares. The video category that amassed the most views was "live procedure/surgeries," followed by "educational" and "patient experience." Subanalysis of 46 educational videos revealed physicians were the chief creators, accounting for 67.4% of all educational videos. Physician-created content demonstrated statistically significant better understandability and actionability, as measured by the Patient Education Materials Assessment Tool ( p = 0.0053). Physicians play an important role in disseminating evidence-based medicine on social media. While oculoplastics-related TikTok videos are gaining traction, additional research is needed to improve the visibility of oculoplastic-surgeon posted content.

Research on the Production Characteristics of TikTok Short Video Content: Taking CCTV News as an Example

Research on the Production Characteristics of TikTok Short Video Content: Taking CCTV News as an Example

FSpot: Fast and Efficient Video Encoding Workloads Over Amazon Spot Instances

HTTP Adaptive Streaming (HAS) of video content is becoming an undivided part of the Internet and accounts for most of today's network traffic. Video compression technology plays a vital role in efficiently utilizing network channels, but encoding videos into multiple representations with selected encoding parameters is a significant challenge. However, video encoding is a computationally intensive and time-consuming operation that requires high-performance resources provided by on-premise infrastructures or public clouds. In turn, the public clouds, such as Amazon elastic compute cloud (EC2), provide hundreds of computing instances optimized for different purposes and clients’ budgets. Thus, there is a need for algorithms and methods for optimized computing instance selection for specific tasks such as video encoding and transcoding operations. Additionally, the encoding speed directly depends on the selected encoding parameters and the complexity characteristics of video content. In this paper, we first benchmarked the video encoding performance of Amazon EC2 spot instances using multiple ×264 codec encoding parameters and video sequences of varying complexity. Then, we proposed a novel fast approach to optimize Amazon EC2 spot instances and minimize video encoding costs. Furthermore, we evaluated how the optimized selection of EC2 spot instances can affect the encoding cost. The results show that our approach, on average, can reduce the encoding costs by at least 15.8% and up to 47.8% when compared to a random selection of EC2 spot instances.

The Role of Recipient Characteristics in Health Video Communication Outcomes: Scoping Review.

BackgroundThe importance of effective communication during public health emergencies has been highlighted by the World Health Organization, and it has published guidelines for effective communication in such situations. With video being a popular medium, video communication has been a growing area of study over the past decades and is increasingly used across different sectors and disciplines, including health. Health-related video communication gained momentum during the SARS-CoV-2 pandemic, and video was among the most frequently used modes of communication worldwide. However, although much research has been done regarding different characteristics of video content (the message) and its delivery (the messenger), there is a lack of knowledge about the role played by the characteristics of the recipients for the creation of effective communication.ObjectiveThe aim of this review is to identify how health video communication outcomes are shaped by recipient characteristics, as such characteristics might affect the effectiveness of communication. The main research question of the study is as follows: do the characteristics of the recipients of health videos affect the outcomes of the communication?MethodsA scoping review describing the existing knowledge within the field was conducted. We searched for literature in 3 databases (PubMed, Scopus, and Embase) and defined eligibility criteria based on the relevance to the research question. Recipient characteristics and health video communication outcomes were identified and classified.ResultsOf the 1040 documents initially identified, 128 (12.31%) met the criteria for full-text assessment, and 39 (3.75%) met the inclusion criteria. The included studies reported 56 recipient characteristics and 42 communication outcomes. The reported associations between characteristics and outcomes were identified, and the potential research opportunities were discussed. Contributions were made to theory development by amending the existing framework of the Integrated-Change model, which is an integrated model of motivational and behavioral change.ConclusionsAlthough several recipient characteristics and health video communication outcomes were identified, there is a lack of robust empirical evidence on the association between them. Further research is needed to understand how the preceding characteristics of the recipients might affect the various outcomes of health video communication.