Automatic partitioning of full-motion video
Multimedia Systems
Content-Based Video Indexing and Retrieval
IEEE MultiMedia
A feature-based algorithm for detecting and classifying scene breaks
Proceedings of the third ACM international conference on Multimedia
Video parsing and browsing using compressed data
Multimedia Tools and Applications
Generic and fully automatic content-based image retrieval using color
Pattern Recognition Letters - special issue on pattern recognition in practice V
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A feature-based algorithm for detecting and classifying production effects
Multimedia Systems
A Formal Model for Video Shot Segmentation and its Application via Animate Vision
Multimedia Tools and Applications
A unified model for techniques on video-shot transition detection
IEEE Transactions on Multimedia
Detection and representation of scenes in videos
IEEE Transactions on Multimedia
Statistical models of video structure for content analysis and characterization
IEEE Transactions on Image Processing
A unified approach to shot change detection and camera motion characterization
IEEE Transactions on Circuits and Systems for Video Technology
Performance characterization of video-shot-change detection methods
IEEE Transactions on Circuits and Systems for Video Technology
Shot-boundary detection: unraveled and resolved?
IEEE Transactions on Circuits and Systems for Video Technology
Video summarization and scene detection by graph modeling
IEEE Transactions on Circuits and Systems for Video Technology
Information theory-based shot cut/fade detection and video summarization
IEEE Transactions on Circuits and Systems for Video Technology
A Formal Study of Shot Boundary Detection
IEEE Transactions on Circuits and Systems for Video Technology
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Shot boundary detection (SBD) has long been an important problem in content based video analyzing. In existing works, researchers proposed kinds of methods to analyze the continuity of video sequence for SBD. However, the conventional methods focus on analyzing adjacent frame continuity information in some common feature space. The feature space for content representing and continuity computing is seldom specialized for different parts of video content. In this paper, we demonstrate the shortage of using common feature space, and propose a denoising method that can effectively restrain the in-shot change for SBD. A local subspace specialized for every period of video content is used to develop the denoising method. The experiment results show the proposed method can remove the noise effectively and promote the performance of SBD.