Affective computing
Unsupervised Multiresolution Segmentation for Images with Low Depth of Field
IEEE Transactions on Pattern Analysis and Machine Intelligence
Media Computing: Computational Media Aesthetics
Media Computing: Computational Media Aesthetics
Pivot Vector Space Approach for Audio-Video Mixing
IEEE MultiMedia
Constructing table-of-content for videos
Multimedia Systems - Special section on video libraries
Action movies segmentation and summarization based on tempo analysis
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Indexing narrative structure and semantics in motion pictures with a probabilistic framework
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
Affective video content representation and modeling
IEEE Transactions on Multimedia
Detection and representation of scenes in videos
IEEE Transactions on Multimedia
MPEG-7 visual motion descriptors
IEEE Transactions on Circuits and Systems for Video Technology
Dynamic social network for narrative video analysis
MM '11 Proceedings of the 19th ACM international conference on Multimedia
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In this paper, we propose a novel method for performing high-level narrative structure extraction of films. Our objective is to utilize the knowledge of film production for analyzing and extracting the structure of films. This is achieved by combining visual and aural cues on the basis of cinematic principles. An aesthetic model is developed to integrate visual and aural cues (aesthetic fields) to evaluate the aesthetic intensity curve which is associated with the film's narrative structure. Finally, we conduct experiments on different genres of films. Experimental results demonstrate the effectiveness of our approach.