Research on Emotion Classification of Film and Television Scene Images Based on Different Salient Region

Su, Zhibin; Liu, Bing; Zhang, Lijing; Hui, Rutai

doi:10.1109/iccst50977.2020.00114

Cited by 2 publications

(2 citation statements)

References 14 publications

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“…To better meet people's needs for film and television culture, we should keep abreast of the times, give full play to the positive role of all kinds of new media, and promote the innovative development of film and television culture [11][12][13]. In order to further enhance the effect of film and television culture dissemination, the relevant staff should recognize the importance of the new media, understand the positive effects it can bring, accurately locate audience needs, and reasonably apply the new media to promote the communication of film and television culture [14]. In order to further enhance the communication effect of film and television culture, relevant staff should recognize the importance of new media, understand the positive effects it can bring, accurately locate the audience's needs, and reasonably apply new media to promote the dissemination of film and television culture [15].…”

Section: Introductionmentioning

confidence: 99%

Exploration of Film and Television Cultural Communication Strategies in the Digital Era

2024

Applied Mathematics and Nonlinear Sciences

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Based on the information digital technology and Internet platform of new media, this paper discusses how they accelerate the change of film and television culture communication. This paper first constructed a clustering index system for film and television culture communication, then adopted the improved K-prototype algorithm to determine the clustering center, and calculated the distance between the research data and the initial prototype. Then, the total loss function is used to cluster the data. The Analysis shows that between 2013 and 2023, the box office of movies and TV shows will increase by an average of 616 million yuan per year, and the number of moviegoers will increase by 958 million in 11 years. The study also found that the themes of entertainment (p=0.004<0.05) and traditional culture (p=0.042<0.05) had a significant negative impact on the breadth of communication. In contrast, the themes of treasure hunting and adventure (p=0.006<0.05) significantly negatively affected communication participation. Based on these findings, the paper puts forward suggestions for the future development of film and television culture communication strategies, which provides a valuable reference for the practice and data support of film and television culture communication.

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Section: Introductionmentioning

confidence: 99%

Exploration of Film and Television Cultural Communication Strategies in the Digital Era

2024

Applied Mathematics and Nonlinear Sciences

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“…Su, Z. B. et al, based on SVM and RF algorithms to establish an emotion classification model, combined with the film and television works of the self-constructed dataset, constructed the emotion classification model of different significant and non-significant regions, which realizes the prediction of emotion on the images of film and television scenes [15]. This paper aims to design group events in interactive film and television, as well as scenes that drive viewers' psychological feelings and positive communication.…”

Section: Introductionmentioning

confidence: 99%

Digital Design of Film and Television Scenes Based on Interactive Ritual Chain in the New Media Era

Pan

2024

Applied Mathematics and Nonlinear Sciences

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In this paper, we utilize group event prediction techniques for film and television communication to explore the effects of interactive cinema and scene design on participants’ feelings and the impact of film and television communication. A five-dimensional feature vector is used for quantization, and the dimensions and categories of the feature vectors can be changed to make them more consistent with the characteristics of the research object for different types of network events in the interaction scene. For the analysis and prediction of event attention, the data of the budding period before the outbreak is extracted in the preprocessing stage for the prediction of future outbreaks of the event, as the data for the analysis of attention, and the event attention model is constructed through differential equations to realize the prediction of the impact of attention. The results showed that during the video content exploration, respondents had a higher demand for experiencing the festival ritual process (5.73) and preferred the institution of making five-color glutinous rice (2.53). The interactive video scenes were designed with comforting colors (1.86), beautiful interface aesthetics, and a simple operation flow (3.11). Of the eight secondary indicators found in the documentary dissemination effect, five indicators, including content theme and video duration, significantly impacted the number of interactions with the video. There is a significant difference between interactive behavior and emotional experience, and interactive respondents can feel the emotional experience more.

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Research on Emotion Classification of Film and Television Scene Images Based on Different Salient Region

Cited by 2 publications

References 14 publications

Exploration of Film and Television Cultural Communication Strategies in the Digital Era

Exploration of Film and Television Cultural Communication Strategies in the Digital Era

Digital Design of Film and Television Scenes Based on Interactive Ritual Chain in the New Media Era

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