Automatic partitioning of full-motion video
Multimedia Systems
Machine Learning
Less is More: Active Learning with Support Vector Machines
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Automatic Video Indexing and Full-Video Search for Object Appearances
Proceedings of the IFIP TC2/WG 2.6 Second Working Conference on Visual Database Systems II
A feature-based algorithm for detecting and classifying production effects
Multimedia Systems
A new general framework for shot boundary detection and key-frame extraction
Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval
IEEE Transactions on Multimedia
A unified model for techniques on video-shot transition detection
IEEE Transactions on Multimedia
Rapid scene analysis on compressed video
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
Foveated shot detection for video segmentation
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
Shiatsu: semantic-based hierarchical automatic tagging of videos by segmentation using cuts
Proceedings of the 3rd international workshop on Automated information extraction in media production
A non parametric shot boundary detection: an eigen gap based approach
COMPUTE '11 Proceedings of the Fourth Annual ACM Bangalore Conference
Transactions on computational collective intelligence V
A robust and efficient shot boundary detection approach based on fisher criterion
Proceedings of the 20th ACM international conference on Multimedia
SHIATSU: tagging and retrieving videos without worries
Multimedia Tools and Applications
AVCD-FRA: A novel solution to automatic video cut detection using fuzzy-rule-based approach
Computer Vision and Image Understanding
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Video shot detection is an important contemporary problem since it is the first step towards indexing and content based video retrieval. Traditionally, video shot segmentation approaches rely on thresholding methodologies which are sensitive to the content of the video being processed and do not generalize well the when there is little prior knowledge about the video content. To ameliorate this shortcoming we propose a learning based methodology using a set of features that are specifically designed to capture the differences among hard cuts, gradual transitions and normal sequences of frames at the same time. A support vector machine (SVM) classifier is trained both to locate shot boundaries and characterize transition types. Numerical experiments using a variety of videos demonstrate that our method is capable of accurately discriminating shot transitions in videos with different characteristics.