Automatic partitioning of full-motion video
Multimedia Systems
MULTIMEDIA '94 Proceedings of the second ACM international conference on Multimedia
Key-frame extraction and shot retrieval using nearest feature line (NFL)
MULTIMEDIA '00 Proceedings of the 2000 ACM workshops on Multimedia
Video summarization using R-sequences
Real-Time Imaging
Principles of visual information retrieval
Principles of visual information retrieval
Saliency, Scale and Image Description
International Journal of Computer Vision
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
Challenges of Image and Video Retrieval
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
Video Retrieval by Feature Learning in Key Frames
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
Challenges and Opportunities in Search and Retrieval for Media Databases
CBAIVL '98 Proceedings of the IEEE Workshop on Content - Based Access of Image and Video Libraries
Exploring Video Structure Beyond The Shots
ICMCS '98 Proceedings of the IEEE International Conference on Multimedia Computing and Systems
Automatic Video Scene Extraction by Shot Grouping
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
An unsupervised method for active region extraction in sports videos
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II
Football video annotation based on player motion recognition using enhanced entropy
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advences in computational intelligence - Volume Part II
Video genre classification using weighted kernel logistic regression
Advances in Multimedia - Special issue on Multimedia Applications for Smart Device in Ubiquitous Environments
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The fast evolution of the digital video technology has opened new areas of research. The most important aspect will be to develop algorithms to perform video cataloguing, indexing and retrieval. The basic step is to find a way for video abstraction, as this will help us more for browsing a large set of video data with sufficient content representation. In this paper we present an overview of the current key-frame extraction algorithms. We propose the Entropy-Difference, an algorithm that performs spatial frame segmentation. We present evaluation of the algorithm on several video clips. Quantitative results show that the algorithm is successful in helping annotators automatically identify video key-frames