Comparing images using color coherence vectors
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Algorithms on strings, trees, and sequences: computer science and computational biology
Algorithms on strings, trees, and sequences: computer science and computational biology
A new approach to retrieve video by example video clip
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 2)
Content-based video similarity model
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
VisualGREP: A Systematic Method to Compare and RetrieveVideo Sequences
Multimedia Tools and Applications
Techniques and Systems for Image and Video Retrieval
IEEE Transactions on Knowledge and Data Engineering
Video Sequence Similarity Matching
MINAR '98 Proceedings of the IAPR International Workshop on Multimedia Information Analysis and Retrieval
Methods for identifying versioned and plagiarized documents
Journal of the American Society for Information Science and Technology
Efficient matching and clustering of video shots
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 1)-Volume 1 - Volume 1
A Content-Based Video Query Agent Using Feature-Based Image Search Engine
ICCIMA '99 Proceedings of the 3rd International Conference on Computational Intelligence and Multimedia Applications
Content-based retrieval of video shot using the-improved nearest feature line method
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Fast video matching with signature alignment
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Detection of video sequences using compact signatures
ACM Transactions on Information Systems (TOIS)
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Vast quantities of video data are distributed around the world every day. Video content owners would like to be able to automatically detect any use of their material, in any media or representation. We investigate techniques for identifying similar video content in large collections. Current methods are based on related technology, such as image retrieval, but the effectiveness of these techniques has not been demonstrated for the task of locating video clips that are derived from the same original. We propose a new method for locating video clips, shot-length detection, and compare it to methods based on image retrieval. We test the methods in a variety of contexts and show that they have different strengths and weaknesses. Our results show that the shot-based approach is promising, but is not yet sufficiently robust for practical application.