Automatic partitioning of full-motion video
Multimedia Systems
MULTIMEDIA '94 Proceedings of the second ACM international conference on Multimedia
Video parsing and browsing using compressed data
Multimedia Tools and Applications
Scale-Space Derived From B-Splines
IEEE Transactions on Pattern Analysis and Machine Intelligence
Asymptotic behaviors of support vector machines with Gaussian kernel
Neural Computation
An Accurate and Robust Method for Detecting Video Shot Boundaries
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Interactive key frame selection model
Journal of Visual Communication and Image Representation
Simultaneous detection of abrupt cuts and dissolves in videos using support vector machines
Pattern Recognition Letters
Adaptive training of video sets for image recognition on mobile phones
Personal and Ubiquitous Computing
Extracting Key Frames for Surveillance Video Based on Color Spatial Distribution Histograms
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Concurrent transition and shot detection in football videos using fuzzy logic
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Web-based semantic analysis of chinese news video
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
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Video shot boundary detection is an important step in many video applications. Since the rapid development of video editing technology, especially, the extensive use of sub-window in news video, the original method of video segmentation cannot efficiently detect the video shot boundary caused by special video technique. In this paper, previous temporal multi-resolution analysis (TMRA) work was extended by first using SVM (Supported Vector Machines) classify the video frames within a sliding window into normal frames, gradual transition frames and CUT frames, then clustering the classified frames into different shot categories. The experimental result on ground truth, which has about 21 hours (10,250 shots) news video clip, shows that the new framework has relatively good accuracy for the detection of shot boundaries. It basically resolves the difficulties of shot boundaries detection caused by sub-window technique in video. The framework also greatly improves accuracy of gradual transitions of shot.