A distance measure for video sequences
Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries
A guided tour to approximate string matching
ACM Computing Surveys (CSUR)
Feature Extraction and a Database Strategy for Video Fingerprinting
VISUAL '02 Proceedings of the 5th International Conference on Recent Advances in Visual Information Systems
On the detection and recognition of television commercials
ICMCS '97 Proceedings of the 1997 International Conference on Multimedia Computing and Systems
Video retrieval using spatio-temporal descriptors
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Fast video matching with signature alignment
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Real time repeated video sequence identification
Computer Vision and Image Understanding
Retrieval of News Video Using Video Sequence Matching
MMM '05 Proceedings of the 11th International Multimedia Modelling Conference
Matching Commercial Clips from TV Streams Using a Unique, Robust and Compact Signature
DICTA '05 Proceedings of the Digital Image Computing on Techniques and Applications
A fast shot matching strategy for detecting duplicate sequences in a television stream
Proceedings of the 2nd international workshop on Computer vision meets databases
IEEE Transactions on Circuits and Systems for Video Technology
Scalable near identical image and shot detection
Proceedings of the 6th ACM international conference on Image and video retrieval
Challenges and techniques for effective and efficient similarity search in large video databases
Proceedings of the VLDB Endowment
Video retrieval based on object discovery
Computer Vision and Image Understanding
An Efficient Method for Near-Duplicate Video Detection
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Bounded coordinate system indexing for real-time video clip search
ACM Transactions on Information Systems (TOIS)
Proceedings of the 2009 ACM symposium on Applied Computing
A compact, effective descriptor for video copy detection
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Video copy detection by fast sequence matching
Proceedings of the ACM International Conference on Image and Video Retrieval
An analysis of independence of video signatures based on tomography
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Scaling content-based video copy detection to very large databases
Multimedia Tools and Applications
Evaluating detection of near duplicate video segments
Proceedings of the ACM International Conference on Image and Video Retrieval
Dynamic content-page identification for media-rich websites
Multimedia Tools and Applications
Video copy detection using multiple visual cues and MPEG-7 descriptors
Journal of Visual Communication and Image Representation
Information Processing and Management: an International Journal
Annotated free-hand sketches for video retrieval using object semantics and motion
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
International Journal of Multimedia Data Engineering & Management
Markov random fields for sketch based video retrieval
Proceedings of the 3rd ACM conference on International conference on multimedia retrieval
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Video databases require that clips are represented in a compact and discriminative way, in order to perform efficient matching and retrieval of documents of interest. We present a method to obtain a video representation suitable for this task, and show how to use this representation in a matching scheme. In contrast with existing works, the proposed approach is entirely based on features and descriptors taken from the well established MPEG-7 standard. Different clips are compared using an edit distance, in order to obtain high similarity between videos that differ for some subsequences, but are essentially related to the same content. Experimental validation is performed using a prototype application that retrieves TV commercials recorded from different TV sources in real time. Results show excellent performances both in terms of accuracy, and in terms of computational performances.