Photo Composition Research Articles

Pulitzer Prize’s Breaking News Photography Intensifying Students’ Photojournalism

The recent surge in Pulitzer Prize-winning Breaking News Photography has prompted an exploration into its impact on student photojournalism. This research aims to investigate and analyze this phenomenon. The objective of this study is to assess the effects of recent Pulitzer Prize-winning Breaking News Photography on the intensification of student photojournalism. A qualitative approach, utilizing observational methods, was employed in this research. Sampling was conducted through cluster sampling, involving a total of 60 participants. The analysis of Pulitzer Prize-winning Breaking News Photography indicates a notable enhancement in the ability of students to produce high-quality journalistic photos. Assignments focused on reinforcing the essential principles of journalism have facilitated increased creativity in photo composition and improved accuracy in captioning. Moreover, the evaluation of student works uploaded to social media platforms has provided valuable insights for instructors. Additionally, the need for curriculum adaptation to emphasize skill development is highlighted, aiming to cultivate professional, integrity-driven, and honest journalists. The implications of this study underscore the significance of adapting curriculum structures to bolster skill development in student photojournalists, thereby fostering the emergence of journalism professionals characterized by integrity and honesty.

Spinning Circle at the Mill

Spinning Circle at the Mill

3 The Aesthetics of Empathy in Agenesis of the Corpus Callosum

Objective:Previous research suggests that individuals with isolated Agenesis of the Corpus Callosum (AgCC) have cognitive and psychosocial deficiencies that include impaired recognition of the emotions of others (Symington et al., 2010) and a diminished ability to infer and describe the emotions of others (Paul et al., 2021; Turk et al., 2010). In addition, galvanic skin responses effectively discriminated between emotional images despite atypical emotion ratings (Paul et al, 2006), supporting a dissociation between cognitive and affective empathy in AgCC. Likewise, atypical patterns of visual attention to faces corresponded with impaired emotion recognition in AgCC (Bridgman et al, 2014), suggesting that atypical visual attention in AgCC negatively impacts the ability to identify others’ emotions. This study used the Multifaceted Empathy Test [MET] (Foell et al., 2018) to examine the impact of visual aesthetics (photo composition) on empathetic feelings (affective empathy) and situational emotion recognition (cognitive empathy) in persons with AgCC. Both cognitive and affective empathy scores are typically higher on MET stimuli composed according to the “Golden Spiral” (Callaway, 2022).Participants and Methods:Results from 50 control participants recruited from Cloud Research were compared to responses from 19 participants with AgCC and normal-range FSIQ (>80). Data was gathered through an online version of the MET, which uses a series of photographs of individuals displaying an emotion, half of which adhere to the compositional technique known as “The Golden Spiral.” To measure cognitive empathy, the participants are asked to pick the correct emotion being displayed with three distractors for each item. To measure affective empathy, they are then asked on a sliding scale, “how much do you empathize with the person shown” (1 = Not at all, 7 = Very much).Results:Repeated measures mixed ANOVAs revealed no difference between AgCC and control groups on affective empathy, and as expected on the MET, both groups had significantly higher ratings for photos composed according to the Golden Spiral (AgCC, np2 = .071; control, np2 = .136). In contrast, the AgCC group scored significantly lower than controls overall on cognitive empathy, np2 =.065. Exploratory post-hoc found a significant group difference in cognitive empathy only on photos composed according to the Golden Spiral, np2 = .090, with the scores in the AgCC group unimpacted by composition type while the control group exhibiting significantly higher scores Golden Spiral images, np2 = .254.Conclusions:Empathic deficits in AgCC were restricted to the cognitive component, while affective empathy was not impaired. Visual aesthetics of photo composition influenced affective empathy ratings in both AgCC and control groups. However, adults with AgCC had diminished ability to give cognitive labels to the emotional states of others, which was not enhanced by the formal aesthetics of stimuli. Thus the corpus callosum seems to facilitate the ability to cognitively label emotions by facilitating visual attention. It also suggests that the corpus callosum does not facilitate affective empathy, in part because it does not appear to determine whether formal aesthetics influences the processing of visual stimuli in AgCC or neurotypical controls.

Pengaruh Komposisi Foto De Tjolomadoe Melalui Instagram @detjolomadoe_official

The De Tjolomadoe Museum was originally a sugar factory which later underwent a revitalization after being neglected for 20 years by carrying out the concept of adaptive reuse. After the revitalization was completed, the building was reopened as a museum along with various other supporting functions. The widespread use of social media such as Instagram among the public, the De Tjolomadoe Museum also uses Instagram as a medium to interact and attract the attention of the wider community to visit this museum. As a result, many people are interested in visiting and documenting it through photos which are then uploaded to social media and uploaded by tagging the official Instagram account @detjolomadoe_official. This study aims to find the effect of photo composition on the architecture of the De Tjolomadoe Museum by uploading the Instagram photo tag @detjolomadoe_official. This research focuses on the exterior of the museum through photos tagged on the Instagram account @detjolomadoe_official. Photos are taken via screenshots which are then processed by classifying them based on the composition used. The research is continued with analysis and discussion in accordance with related theories. The discussion starts with photo composition preferences, layers in photos, and building elements that appear in photos. The photos obtained were able to strengthen the character of the De Tjolomadoe Museum into a monumental building because of its compositional arrangement.

Focusing on your subject: Deep subject-aware image composition recommendation networks

Photo composition is one of the most important factors in the aesthetics of photographs. As a popular application, composition recommendation for a photo focusing on a specific subject has been ignored by recent deep-learning-based composition recommendation approaches. In this paper, we propose a subject-aware image composition recommendation method, SAC-Net, which takes an RGB image and a binary subject window mask as input, and returns good compositions as crops containing the subject. Our model first determines candidate scores for all possible coarse cropping windows. The crops with high candidate scores are selected and further refined by regressing their corner points to generate the output recommended cropping windows. The final scores of the refined crops are predicted by a final score regression module. Unlike existing methods that need to preset several cropping windows, our network is able to automatically regress cropping windows with arbitrary aspect ratios and sizes. We propose novel stability losses for maximizing smoothness when changing cropping windows along with view changes. Experimental results show that our method outperforms state-of-the-art methods not only on the subject-aware image composition recommendation task, but also for general purpose composition recommendation. We also have designed a multistage labeling scheme so that a large amount of ranked pairs can be produced economically. We use this scheme to propose the first subject-aware composition dataset SACD, which contains 2777 images, and more than 5 million composition ranked pairs. The SACD dataset is publicly available at https://cg.cs.tsinghua.edu.cn/SACD/.

Fotografer dan Dinamika Jurnalisme Positif perspektif Jurnalistik Islam: Studi Media Online Times Indonesia

Photography has an important role in the world of journalism. However, someone who works as a photographer doesn't just take pictures based on his imagination based on the photographer's own volition. This study aims to describe the role of photography and the dynamics of positive journalism in online media at www.timesindonesia.com. This research uses qualitative research with descriptive analysis, which describes phenomena and facts systematically and analytically. Is the role of photographers and the dynamics of positive journalism from the perspective of Islamic Journalism by having a case study in the online media Times Indonesia. The data collection method was based on the virtual ethnographic paradigm in cyber media (Nasrullah, 2014), especially online documentation from the work of photographer Senda Hardika Prasasti for the 2016-2017 period, while the results of the interviews were conducted on July 10, 2017. The analysis of this data used analytical techniques. The Miles and Huberman model; is in the form of data reduction analysis, data display, and conclusion verification. The results of the study indicate that the role of photographers in Timesindonesia has fulfilled the rules of positive and constructive photojournalism, including; (1) Appropriate/appropriate photo composition; (2) Contains journalistic elements (5W+1H); (3) Does not destroy the reality of events; and (4) Has more value than ordinary photos. The recommendations for all photographers in this study, among others; are (a) A photographer should always comply with the applicable journalistic photography ethics and journalistic photography publication ethics, and (b) Do not be easily bribed with material to produce and publish fake photos that can cause polemics in the community. The research also states that Islamic Journalism is a constructive solution to developing online mass media based on religious and humanitarian knowledge (humanism).

Intervention based on mindfulness and body image in patients undergoing bariatric surgery

After treatments for loss of large amounts of weight, the dissatisfaction with body image and the lack of recognition of the body itself is recurrent. These factors are elements of study due to the difficulties encountered in maintaining the results, in the long term, also in the surgical treatment of obesity. The lack of identity with the new form and dissatisfaction with body image have been pointed out as maintaining factors of poor eating habits and emotional eating that leads to weight recurrence. In this sense, the interest was raised as to whether: Would small mindfulness interventions have the ability to improve body image and favor the recognition of body distortions, in order to prevent weight recurrence in patients undergoing bariatric surgeries? This article aims to investigate the applicability of small mindfulness meditative strategies in the prevention of weight recurrence in bariatric patients. The method presented is a case report through 12 weekly meetings with a female client, 48 years of age, preoperative BMI of 42 Kg/m2 and postoperative BMI of 21.67 Kg/m2. The themes of the meetings were: psychoeducation about bariatric surgery, family approach, evaluation and psychoeducation about cognitive patterns, assessment of body image and body identity through photo composition. The other meetings were distributed among the small practices of mindfulness: breathing, movement, eating with mindfulness and body scanning. The practices demonstrated efficacy in reducing the discrepancy between the internal subjective perception of the body (interoception) and body image (exteroception). There was a positive experience of the body outside the aesthetic requirements, achievement of greater identity with body shape, exit from the perfectionist pattern and evaluation improvement of body shape and size. The small mindfulness-like meditative strategies have been shown to be effective in cognitive behavioral therapy for the prevention of weight recurrence in bariatric patients.

Whose park? Crowdsourcing citizen's urban green space preferences to inform needs-based management decisions

• Photo uploads to social media are linked to specific uses and are not a good indicator of subjective values. • Landscape photo composition is not linked to preferences. • A dedicated mobile app provides useful insights into in situ location specific perception and preferences, especially with regard to quieter values of urban green space. • Combined with observations of use a dedicated app can help prioritise locations for improvement. Subjective values of urban green spaces are difficult to quantify and thus easily overlooked in planning processes. Accounting for such values is an important challenge in developing sustainable cities. Crowdsourcing methods, such as big data and smart phone applications, have emerged as promising methods to improve insights into subjective perceptions and preferences. However, we know little about how well these relatively new methods actually quantify subjective values. We assessed several of these new methods by comparing observations of use (n = 1009) to three crowdsourcing methods in one large park in Amsterdam, the Netherlands: a dedicated mobile app providing in situ stated preferences (n = 377), passive social media (n = 78) and a municipal reporting app (n = 187). We show that observed use and passive social media only captured user quantity and were not able to identify green space qualities that are important for mental health functions, such as how relaxing or safe a location is. The dedicated mobile app combined with observed use helped to identify priority locations for improvement. Our findings emphasize that if inadequate measures are used in smart city developments, subjective values and specific user groups will continue to be overlooked in planning processes.

The Importance Of The Subject "Art Photo Composition" In The Study Of Photo Art

The article covers the basic concepts of artistic photo composition, the general purpose of the composition, the artist's use of visual and expressive means of this art, the use of specific methods and techniques of constructive construction.

Visibility, violence and queerness: Examining the potentiality of photographs

Salvadoran photographer Elvis Guzmán’s photo exhibit ‘El Autobautismo: De la “I” a la “S”’ (‘Self-baptism: From “I” to “S”’) portrays the quotidian balance between queer survival and celebration by telling the story of three individuals: Isaac, a drag queen; Alex, a trans man; and Stacy, a trans woman. Guzmán’s photos reveal the ephemeral nature of queer identity and the rawness of becoming self in El Salvador as the individuals’ lived realities show a layered experience of trauma and reclaimed identity. In this article, I assert that while photographs and video media are impactful tools in normalizing and educating about situations of violence, their images simultaneously have the potential to reify and retraumatize through the visualization of experienced violence. This analysis of Guzmán’s photo composition contextualizes the embodied experiences of violence within the frame of queer identity and self-baptism in El Salvador in order to illuminate the contradictory and invaluable relationship between violence and visibility.

Photo Composition with Real-Time Rating.

Taking a photo has become a part of our daily life. With the powerfulness and convenience of a smartphone, capturing what we see may have never been easier. However, taking good photos may not be always easy or intuitive for everyone. As numerous studies have shown that photo composition plays a very important role in making a good photo, in this study, we, therefore, propose to develop a photo-taking app to give a real-time suggestion through a scoring mechanism to guide a user to take a good photo. Due to the concern of real-time performance, only eight commonly used composition rules are adopted in our system, and several detailed evaluations have been conducted to prove the effectiveness of our system.

The Implementation of Online Project-Based Learning Model With A Combination of Collaborative Learning to Improve The Learning Result of Digital Photo Composition

<p>The purpose of this research was to improve the learning results of Digital Photo Composition through the implementation of Online Project Based Learning model with a combination of Collaborative Learning on Multimedia students of SMK Negeri Takeran. This research was Classroom Action Research (CAR) with the cycle model of collaboration between researcher dan teacher. This survey was conducted in two cycles with each cycle consisting of planning, acting, observing, and reflecting. These subjects were students of Multimedia eleventh grade of SMK Negeri Takeran, which consisted of 22 students. The data collection technique was a test, observation, interview, and documentation. The data validity tests of the research were a triangulation of source and triangulation of method. The data analyzed technique was quantitative-descriptive analysis technique. Based on the result of this survey, it could conclude that implementation of Online Project Based Learning model with a combination of Collaborative Learning can improve learning result at Multimedia eleventh grade of SMK Negeri Takeran. It proved by the increase of average scores in the cognitive test for each cycle. The average value of pra-cycle was 69,82 with the completeness of 22,73% or 5 of 22 students. While on the cycle I was 77,5 with the completeness of 63,64% or 14 of 22 students. The average score of cycle II was 83,95 with the integrity of 81,82% or 18 of 22 students.</p>

Adaptive recommendation for photo pose via deep learning

With the development of image acquisition devices and the popularity of smart phones, more and more people would like to upload their photos to diverse social networks. It is hard to guarantee the quality and artistry of these photos because of not everyone is a professional photographer. In order to handle this problem and further help each common user to improve the beauty of photos, we propose an intelligent photo pose recommendation method to recommended professional photo pose according to everyone’s posture in viewfinder. Firstly, the CNN model (VGG-16) is utilized to extract the global features for each photo. Secondly, the salient region detection method is leveraged to extract the regions of interest in each photo. To represent the edge distribution in the local regions, we extract the histogram of oriented gradients. Finally, we propose an effective feature fusion method based on CCA to generate the global visual features for each photo. We implement the Euclidean distance to handle the similarity measure between uploaded photos and the professional photos. The most similar professional photo will be utilized to guide user photo composition. In order to evaluate the performance of the proposed method, we collected a set of professional photos form some professional photography websites. The comparison experiments and user study demonstrate the superiority of the proposed approach.

DEVELOPMENT OF VIDEO MEDIA TUTORIAL LEARNING TO IMPROVE LEARNING CONCENTRATION AND ACHIEVEMENT (Study on Digital Photo Composition Subjects of Vocational Multimedia Programs in Bengkulu)

The purpose of this study to develop and use tutorial learning video media that was implemented using the Camtasia Software to improve student concentration and learning achievement, especially in the Digital Photo Composition subject in the Multimedia department in Bengkulu and to test the effectiveness of the media. The subjects of this study were teachers and students at the SMKS 4 PGRI Kota Bengkulu, SMKS 1 Pembangunan Kota Bengkulu, dan SMKN 1 Kota Bengkulu. This research method is Research and Development (R & D) which is implemented in three steps: Development Model, Development Procedure, and Product Trial. The results of this study are developing and using learning video media with the Camtasia Software to accommodate visual, audio, and animation, and the results of this study prove that learning video media that are developed and very effective in improving students' achievement and learning concentration.

Detecting Dominant Vanishing Points in Natural Scenes with Application to Composition-Sensitive Image Retrieval

Linear perspective is widely used in landscape photography to create the impression of depth on a 2D photo. Automated understanding of linear perspective in landscape photography has several real-world applications, including aesthetics assessment, image retrieval, and on-site feedback for photo composition, yet adequate automated understanding has been elusive. We address this problem by detecting the dominant vanishing point and the associated line structures in a photo. However, natural landscape scenes pose great technical challenges because often the number of strong edges converging to the dominant vanishing point is inadequate. To overcome this difficulty, we propose a novel vanishing point detection method that exploits global structures in the scene via contour detection. We show that our method significantly outperforms state-of-the-art methods on a public ground truth landscape image dataset that we have created. Based on the detection results, we further demonstrate how our approach to linear perspective understanding provides on-site guidance to amateur photographers on their work through a novel viewpoint-specific image retrieval system.

MEDIA PEMBELAJARAN KOMPOSISI FOTO DIGITAL PADA SISWA KELAS XI PROGRAM KEAHLIAN MULTIMEDIA SMK MUHAMMADIYAH 1 LAMONGAN

Digital Photo Composition is one of the competencies that must be mastered by students in completing learning in Multimedia Vocational High School. Digital Photo Composition is a very important part in the world of graphic design. To master this competence requires a deep understanding. In the delivery of the material either theoretically or practicum of a teacher should really be able to attract students sympathy that students finally feel comfortable and motivated in learning. Interactive Media Learning DIGITAL PHOTOGRAPHY used to take Competency Standard Composition Digital Photos, In this learning media, learners will learn from knowing the parts of the camera to the process of photo editing. It consists of interactive content and includes animations, videos, text, photos and simulations. There is also a random evaluation for the answer as well as the scoring system at the end of the evaluation. This media is expected to be a learning material for the students mengasikkan mengasikkan and ultimately students can understand and able even without any learning in the classroom

Detecting image seam carving with low scaling ratio using multi-scale spatial and spectral entropies

Seam carving is the most popular content-aware image retargeting technique. However, it may also be used to correct poor photo composition in photography competition or to remove object from image for malicious purpose. A blind detection approach is presented for seam carved image with low scaling ratio (LSR). It exploits spatial and spectral entropies (SSE) on multi-scale images (candidate image and its down-sampled versions). We observe that when a few seams are deleted from an original image, its SSE distribution is greatly changed. Forty-two features are designed to unveil the statistical properties of SSE in terms of centralized tendency, dispersion tendency and distribution tendency. They are combined with the local binary pattern (LBP)-based energy features to form ninety-six features. Finally, support vector machine (SVM) is exploited as classifier to determine whether an image is original or suffered from seam carving. Experimental results show that the proposed approach achieves superior detection accuracy over the state-of-the-art works, especially for resized image by seam carving with LSRs. Moreover, it is robust against JPEG compression and seam insertion.

Regional foremost matching for internet scene images

We analyze the dense matching problem for Internet scene images based on the fact that commonly only part of images can be matched due to the variation of view angle, motion, objects, etc. We thus propose regional foremost matching to reject outlier matching points while still producing dense high-quality correspondence in the remaining foremost regions. Our system initializes sparse correspondence, propagates matching with model fitting and optimization, and detects foremost regions robustly. We apply our method to several applications, including time-lapse sequence generation, Internet photo composition, automatic image morphing, and automatic rephotography.

A photograph reconstruction by object retargeting for better composition

In digital photography, composition rules are essential for capturing highly aesthetic photographs. Aesthetic images create a response of visual appreciation to the viewers. Rule-of-thirds (RoT) is the most important and basic rule accepted by photographers for taking aesthetically pleasing shots. In this paper, a novel computational approach, "Retarget Object for Implementation of Rule-of-Thirds", (ROI-RT) is presented. The ROI-RT technique automatically improves the composition of the photographs according to the photo composition guidelines. For achieving the mentioned task, the key adopted steps are main object segmentation by alpha matting, texture synthesis for occluded background, features extraction for ROI-RT, and retargeting the main object on synthesized background to reproduce a photograph which respects the composition rule RoT, in photography. Experimental results performed on various sets of photographs achieve a compositional accuracy rate of 95 % by proposed approach. Aesthetic scores for the resultant reconstructed photographs are attained by average subjective rating (SR) of 30 people and also computed by online evaluation methods of OSCAR and ACQUINE. Statistical significant test is applied and obtained P---valueź=ź0.0001ź<ź0.05 shows a promising performance of our ROI-RT compositional scheme. A comparison with existing photo composition techniques shows that ROI-RT provides us a better aesthetic photographic composition.

'Lovers of beauty': the oeuvres of George Santayana, Fred Holland Day and Edward Perry Warren as exemplifications of aesthetics of existence influenced by the Platonic Eros

My theory is about the lovers of beauty who tried to aestheticize their existences in different ways, but with the same goal: to make life into an oeuvre. George Santayana created an aesthetic ontology, Fred Holland Day made a photo composition (Beauty is Truth), which is the essence of his aesthetics of existence, and Edward Perry Warren spiritualized the male ideal shaped through the praising of the Uranian Eros. They used the Hellenic idea as a life-giving energy, they re-eroticised the philosophical thoughts about self-creation and the aesthetic way of life. The serious questions of private perfection and self-creation can be the basis of an ethics of personality. According to Agnes Heller it is always the ethics of one person. We have to illustrate it, if we want to speak about it. So, we have to examine one paradigmatic case to illustrate the essence of it.