• Title/Summary/Keyword: Emotional Video Image

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Weaving the realities with video in multi-media theatre centering on Schaubuhne's Hamlet and Lenea de Sombra's Amarillo (멀티미디어 공연에서 비디오를 활용한 리얼리티 구축하기 - 샤우뷔네의 <햄릿>과 리니아 드 솜브라의 <아마릴로>를 중심으로 -)

  • Choi, Young-Joo
    • Journal of Korean Theatre Studies Association
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    • no.53
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    • pp.167-202
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    • 2014
  • When video composes mise-en-scene during the performance, it reflects the aspect of contemporary image culture, where the individual as creator joins in the image culture through the device of cell phone and computer remediating the former video technology. It also closely related with the contemporary theatre culture in which 1960's and 1970's video art was weaved into the contemporary performance theatre. With these cultural background, theatre practitioners regarded media-friendly mise-en-scene as an alternative facing the cultural landscape the linear representational narrative did not correspond to the present culture. Nonetheless, it can not be ignored that video in the performance theatre is remediating its historical function: to criticize the social reality. to enrich the aesthetic or emotional reality. I focused video in the performance theatre could feature the object with the image by realizing the realtime relay, emphasizing the situation within the frame, and strengthening the reality by alluding the object as a gesutre. So I explored its two historical manuel. First, video recorded the spot, communicated the information, and arose the audience's recognition of the object to its critical function. Second, video in performance theatre could redistribute perceptual way according to the editing method like as close up, slow motion, multiple perspective, montage and collage, and transformation of the image to the aesthetic function. Reminding the historical function of video in contemporary performance theatre, I analyzed two shows, Schaubuhne's Hamlet and Lenea de Sombra's Amarillo which were introduced to Korean audiences during the 2010 Seoul Theatre Olympics. It is known to us that Ostermeir found real social reality as a text and made the play the context. In this, he used video as a vehicle to penetrate the social reality through the hero's perspective. It is also noteworthy that Ostermeir understood Hamlet's dilemma as these days' young generation's propensity. They delayed action while being involved in image culture. Besides his use of video in the piece revitalized the aesthetic function of video by hypermedial perceptual method. Amarillo combined documentary theatre method with installation, physical theatre, and video relay on the spot, and activated aesthetic function with the intermediality, its interacting co-relationship between the media. In this performance theatre, video has recorded and pursued the absent presence of the real people who died or lost in the desert. At the same time it fantasized the emotional aspect of the people at the moment of their death, which would be opaque or non prominent otherwise. As a conclusion, I found the video in contemporary performance theatre visualized the rupture between the media and perform their intermediality. It attempted to disturb the transparent immediacy to invoke the spectator's perception to the theatrical situation, to open its emotional and spiritual aspect, and to remind the realities as with Schaubuhne's Hamlet and Lenea de Sombra's Amarillo.

A Study on System for Analyzing Story of Cinematographic work Based on Estimating Tension of User (감성 상태 기반의 영상 저작물 스토리 분석 시스템 및 분석 방법 개발에 관한 연구)

  • Woo, Jeong-gueon
    • Journal of Engineering Education Research
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    • v.18 no.6
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    • pp.64-69
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    • 2015
  • A video-work story analysis system based on emotional state measurement includes a content provision unit which provides story content of a video-work, a display unit which displays content provided by the content provision unit, an emotional state measurement unit which measures a tense-relaxed emotional state of a viewer viewing the displayed story content, a story pattern analysis unit which analyzes the tense-relaxed emotional state measured from the emotional state measurement unit according to a scene in the story content provided by the content provision unit, and a story pattern display unit which prints out an analysis result or displays the analysis result as an image. The emotional state measurement unit measures a tense or relaxed emotional state through one or more analyses among a brainwave analysis, a vital sign analysis, or an ocular state analysis. A writer may obtain support in an additional scenario modification work, and an investor may obtain support in making a decision through the above description. Furthermore, the video-work story analysis system and analysis method based on emotional state measurement may extract a particular pattern with respect to a change in an emotional state of a viewer, compile statistics, and analyze a correlation between a story and an emotional state.

CREATING JOYFUL DIGESTS BY EXPLOITING SMILE/LAUGHTER FACIAL EXPRESSIONS PRESENT IN VIDEO

  • Kowalik, Uwe;Hidaka, Kota;Irie, Go;Kojima, Akira
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2009.01a
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    • pp.267-272
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    • 2009
  • Video digests provide an effective way of confirming a video content rapidly due to their very compact form. By watching a digest, users can easily check whether a specific content is worth seeing in full. The impression created by the digest greatly influences the user's choice in selecting video contents. We propose a novel method of automatic digest creation that evokes a joyful impression through the created digest by exploiting smile/laughter facial expressions as emotional cues of joy from video. We assume that a digest presenting smiling/laughing faces appeals to the user since he/she is assured that the smile/laughter expression is caused by joyful events inside the video. For detecting smile/laughter faces we have developed a neural network based method for classifying facial expressions. Video segmentation is performed by automatic shot detection. For creating joyful digests, appropriate shots are automatically selected by shot ranking based on the smile/laughter detection result. We report the results of user trials conducted for assessing the visual impression with automatically created 'joyful' digests produced by our system. The results show that users tend to prefer emotional digests containing laughter faces. This result suggests that the attractiveness of automatically created video digests can be improved by extracting emotional cues of the contents through automatic facial expression analysis as proposed in this paper.

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An Analysis of Exhibition Video Contents in International Trade Show-Focused on the ISE 2013 (국제 무역박람회의 전시영상콘텐츠 분석 -ISE 2013을 중심으로)

  • Yang, Y.E.
    • Journal of Korea Multimedia Society
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    • v.17 no.7
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    • pp.895-905
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    • 2014
  • Recently the trade show is a massive marketing effort of a particular industry and introduces new products to potential customers, as well as the ability to elevate the brand's image and corporate identity. It is increasing its importance as a venue of communication. In these changes, the exhibition is required to have the emotional approach to enhance the dynamic and creative image of companies. Therefore, the product itself as well as the importance of various visual contents of the exhibition is increasing positive effect of the image and marketing on their products. In this sense, this study analyzes video contents of the exhibition that was held in Amsterdam, the Netherlands, Europe's largest display show 'ISE (Integrated Systems Europe)' in 2013, focusing on the domestic company, Samsung, LG Electronics and other four foreign companies. The analysis is based on the Herbert Zettl's applied media aesthetics related to the video contents, through which we can find the way to the development of exhibition video contents making for Trade show.

Research Representative Color Image Emotion Emotional Image Size Changes through Tree (영상 이미지 색채 감성트리를 통한 대표감성크기 변화 연구)

  • Lee, Yean-Ran;Park, Hyo-Jin
    • The Journal of the Korea Contents Association
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    • v.15 no.11
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    • pp.10-17
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    • 2015
  • Emotional computer that you want to study in a regular number change is the continuing sensitivity. Emotional Computing manner the sensibilities numbered and emotions were running through the trees. Emotional assessment of emotional sensibility computing was used as the coordinates of the key effects of the James A. Russell (Core Affect). Emotional tree runs purpose was to verify the correlation of sensitivity and emotion computing tree. Emotional tree attributes experiment color, brightness, saturation was configured with. When 50% brightness increase, about pleasure (X-axis) has increased by 10.49 points. Brightness 50%, GREEN 50% increase in the degree of pleasure (X-axis) of 10.49 points, tone (Y axis) has increased by 15.85 points. Brightness 50%, GREEN 50% increase in the degree of pleasure (X-axis) of 10.49 points, tone (Y axis) has increased by 15.85 points. Brightness 50% of the free-extent (X-axis), BLUE 50% when the tone (Y axis), pleasure extent (X-axis) of 10.49 points, tone (Y axis) as much as 14.65 points sensibilities have changed. When representatives emotions size changes have increased 50% brightness, color RED 50%, increased 5.4% Emotional excitement, emotion depressed declined -4.2%. 50% brightness, color GREEN 50% increase in emotional excitement had increased to 8.6%, declined by -5.5% this melancholy sensibility. Representative emotion and emotional changes increase or decrease the size of the emotional attributes were analyzed by quantitative methods. After the happy emotions number is needed to study more similar to the human emotion through the execution of the video image emotion emotional tree computing.

Effect of drone's moving image on audience's flow, arousal of interest, emotional state (드론의 무빙 영상이 수용자의 몰입도, 흥미유발, 감정상태에 미치는 영향)

  • Park, Dug-Chun
    • Journal of Digital Convergence
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    • v.16 no.4
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    • pp.313-319
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    • 2018
  • This experimental research explores the effect of drone's moving image on media audience's flow, arousal of interest and emotional state. Most previous researchers of media image effect insisted that camera movement should be abstained in order to give audience the feeling that movement of figures is in the contents story itself. and camera movement also can disturb natural viewing of audience. For the purpose of finding the effect of drone's moving image on media audience's flow, arousal of interest and emotional state, 2 groups of subjects composed of 56 university students were exposed to 2 different video clips, one with moving drone's image, the other with hovering drone's image. After this experiment, Questions which were designed to measure audience's flow, arousal of interest and emotional state were asked and analysed. This research found that subjects exposed to moving drone's image felt more interested and more positive emotional state than subjects exposed to hovering drone's image. However meaningful effect of drone's moving image on audience's flow was not found.

Video image analysis algorithms with happy emotion tree (영상 이미지 행복 감성 트리를 이용한 분석 알고리즘)

  • Lee, Yean-Ran;Lim, Young-Hwan
    • Cartoon and Animation Studies
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    • s.33
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    • pp.403-423
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    • 2013
  • Video images of emotional happiness or unhappiness, stress or emotional division of tranquility in the form of a tree is evaluated by weighting. Representative evaluation of the video image brightness contrast sensitivity ratings 1 car happy, unhappy or nervous, calm and refined with two car dependency, sensitivity to visual images are separated. Emotion Recognition of four compared to the numerical data is measured by brightness. OpenCV implementation through evaluation graph the stress intensity contrast, tranquility, happiness, unhappiness with changes in the value of four, separated by sensitivity to computing. Contrast sensitivity of computing the brightness according to the input value 'unhappy' to 'happy' or 'stress' to 'calm' the emotional changes are implemented. Emotion computing the regularity of the image to calculate the sensitivity localized computing system can be controlled according to the emotion of the contrast value of the brightness changes are implemented. The future direction of industry on the application of emotion recognition will play a positive role.

The Research about Color Image Analysis Shown in Automobile Video Advertisement (승용차 영상광고에 나타난 색채적용 분석에 관한 연구)

  • Kang, Min-Gu
    • Cartoon and Animation Studies
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    • s.17
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    • pp.147-161
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    • 2009
  • Colors in design elements are visual non-verbal symbols both sensual and emotional. It is the first priority in the selection of products for the consumers, and also represents differentiated strategies and coherent integration symbols for the brand. Colors in advertising is an important tool to represent the long-term image management for the brand as well as the product image and concept of the advertise. The theme of this paper is to develop creative advertisement analyzing colors from automobile video ads. Analysis results showed that video ads with small cars under 2000cc preferred pastel colors with high saturation and brightness to emphasize on individuality rather than authority. On the other hand video ads with big and luxury cars upper 2000cc preferred dark colors with lower saturation and brightness. Small car video ads focused on product appearance showing the practical value of the car, big luxury car video ads focused on the symbolic image feeling the difference between the representation of the ads. Colors used in advertisement represents the sensitivity of the consumers. In video ads the concept of the color should be set by identifying on who the globule targets are and on what item you show by identifying the corresponding colors sensitivity to suit your advertising strategy will increase the value of the brand and products.

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Analysis of Emotional Responses to Different Graphical Styles of Natural Scenery in Video Games (게임에서의 자연풍경의 그래픽 스타일 차이에 따른 감성 반응 분석)

  • Hansun Hong;Seongsu Kim;Minji Kang;Juyoung Lee
    • Journal of Environmental Science International
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    • v.32 no.12
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    • pp.979-985
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    • 2023
  • After the outbreak of COVID-19, the demand for home-enjoyable video games has surged, driven by extended pandemic conditions and resulting in rapid graphic technology advancements. Consequently, games with diverse expression techniques have emerged, captivating players. Virtual Reality (VR) environments predominantly feature natural landscapes, with advancing graphic technology enabling lifelike scenes. The rise in individuals seeking solace through natural elements in games has followed suit. As VR technology and metaverse interest grow, more people are exposed to digital imagery. However, evidence on the influence of graphic expression methods on emotional response to that is lacking. Our study examined user emotional responses, focusing on natural landscapes in digital graphics of games. Analyzing a group of 47 young adults as frequent digital media consumers, we studied reactions to different image styles (Realism, Semi-Realism, Stylized). In the analysis, Realism-style images were perceived the most positively, while emotional responses to natural landscapes with different graphical expressions showed no significant differences. Results suggest that recognizing digital natural landscapes may outweigh expression style impacting the evaluation of digital nature. This study's empirical analysis enhances the understanding of digital nature's application to actual situations.

A Study on Sentiment Pattern Analysis of Video Viewers and Predicting Interest in Video using Facial Emotion Recognition (얼굴 감정을 이용한 시청자 감정 패턴 분석 및 흥미도 예측 연구)

  • Jo, In Gu;Kong, Younwoo;Jeon, Soyi;Cho, Seoyeong;Lee, DoHoon
    • Journal of Korea Multimedia Society
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    • v.25 no.2
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    • pp.215-220
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    • 2022
  • Emotion recognition is one of the most important and challenging areas of computer vision. Nowadays, many studies on emotion recognition were conducted and the performance of models is also improving. but, more research is needed on emotion recognition and sentiment analysis of video viewers. In this paper, we propose an emotion analysis system the includes a sentiment analysis model and an interest prediction model. We analyzed the emotional patterns of people watching popular and unpopular videos and predicted the level of interest using the emotion analysis system. Experimental results showed that certain emotions were strongly related to the popularity of videos and the interest prediction model had high accuracy in predicting the level of interest.