Image processing on compressed data for large video databases
MULTIMEDIA '93 Proceedings of the first ACM international conference on Multimedia
Automatic partitioning of full-motion video
Multimedia Systems
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Video and image processing in multimedia systems
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Managing gigabytes (2nd ed.): compressing and indexing documents and images
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Automatic Video Indexing and Full-Video Search for Object Appearances
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A feature-based algorithm for detecting and classifying production effects
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Scene Break Detection: A Comparison
RIDE '98 Proceedings of the Workshop on Research Issues in Database Engineering
Detecting Fade Regions In Uncompressed Video Sequences
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 4 - Volume 4
Efficient Shot Change Detection on Compressed Video Data
IW-MMDBMS '96 Proceedings of the 1996 International Workshop on Multi-Media Database Management Systems (IW-MMDBMS '96)
Rapid scene analysis on compressed video
IEEE Transactions on Circuits and Systems for Video Technology
A web-enabled video indexing system
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Parsing and browsing tools for colonoscopy videos
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The priority curve algorithm for video summarization
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Object Level Frame Comparison for Video Shot Detection
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Computer Vision and Image Understanding
The priority curve algorithm for video summarization
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Detecting repeats for video structuring
Multimedia Tools and Applications
Audiovisual integration with Segment Models for tennis video parsing
Computer Vision and Image Understanding
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International Journal of Advanced Media and Communication
Detecting cross-fades in interlaced video with 3:2 film cadence
IEEE Transactions on Circuits and Systems for Video Technology
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Video news classification for automatic content personalization: a genetic algorithm based approach
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An evaluation of video cut detection techniques
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PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
A novel fade detection algorithm on H.264/AVC compressed domain
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Automatic and fast temporal segmentation for personalized news consuming
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Audiovisual diarization of people in video content
Multimedia Tools and Applications
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We present improved algorithms for cut, fade, and dissolve detection which are fundamental steps in digital video analysis. In particular, we propose a new adaptive threshold determination method that is shown to reduce artifacts created by noise and motion in scene cut detection. We also describe new two-step algorithms for fade and dissolve detection, and introduce a method for eliminating false positives from a list of detected candidate transitions. In our detailed study of these gradual shot transitions, our objective has been to accurately classify the type of transitions (fade-in, fade-out, and dissolve) and to precisely locate the boundary of the transitions. This distinguishes our work from other early work in scene change detection which tends to focus primarily on identifying the existence of a transition rather than its precise temporal extent. We evaluate our improved algorithms against two other commonly used shot detection techniques on a comprehensive data set, and demonstrate the improved performance due to our enhancements.