Computers in Entertainment (CIE) - Interactive TV
RoleNet: treat a movie as a small society
Proceedings of the international workshop on Workshop on multimedia information retrieval
Hierarchical movie affective content analysis based on arousal and valence features
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Affective ranking of movie scenes using physiological signals and content analysis
MS '08 Proceedings of the 2nd ACM workshop on Multimedia semantics
Synopsis Alignment: Importing External Text Information for Multi-model Movie Analysis
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Personalized MTV Affective Analysis Using User Profile
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
RoleNet: movie analysis from the perspective of social networks
IEEE Transactions on Multimedia - Special issue on integration of context and content
Affective content-based film clips retrieval algorithm using improved fuzzy comprehensive evaluation
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Determination of categories for tagging and automated classification of film scenes
Proceedings of the 8th international interactive conference on Interactive TV&Video
Music video affective understanding using feature importance analysis
Proceedings of the ACM International Conference on Image and Video Retrieval
Utilizing affective analysis for efficient movie browsing
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Temporal salient graph for sports event detection
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Affective image classification using features inspired by psychology and art theory
Proceedings of the international conference on Multimedia
Using scripts for affective content retrieval
PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
Adaptive local hyperplanes for MTV affective analysis
ICIMCS '10 Proceedings of the Second International Conference on Internet Multimedia Computing and Service
Personalization in multimedia retrieval: A survey
Multimedia Tools and Applications
Multimedia Tools and Applications
Multi-actor emotion recognition in movies using a bimodal approach
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part II
Affective classification in video based on semi-supervised learning
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part III
Machine Recognition of Music Emotion: A Review
ACM Transactions on Intelligent Systems and Technology (TIST)
The identification of slapstick comedy using automatic affective video indexing techniques
Proceedings of the 50th Annual Southeast Regional Conference
Horror video scene recognition based on multi-view multi-instance learning
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III
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Affective understanding of film plays an important role in sophisticated movie analysis, ranking and indexing. However, due to the seemingly inscrutable nature of emotions and the broad affective gap from low-level features, this problem is seldom addressed. In this paper, we develop a systematic approach grounded upon psychology and cinematography to address several important issues in affective understanding. An appropriate set of affective categories are identified and steps for their classification developed. A number of effective audiovisual cues are formulated to help bridge the affective gap. In particular, a holistic method of extracting affective information from the multifaceted audio stream has been introduced. Besides classifying every scene in Hollywood domain movies probabilistically into the affective categories, some exciting applications are demonstrated. The experimental results validate the proposed approach and the efficacy of the audiovisual cues.