Computer graphics: principles and practice (2nd ed.)
Computer graphics: principles and practice (2nd ed.)
MPEG: a video compression standard for multimedia applications
Communications of the ACM - Special issue on digital multimedia systems
Ten lectures on wavelets
An introduction to wavelets
Video parsing, retrieval and browsing: an integrated and content-based solution
Proceedings of the third ACM international conference on Multimedia
Fast multiresolution image querying
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Wavelets for computer graphics: theory and applications
Wavelets for computer graphics: theory and applications
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
Content-Based Indexing of Image and Video Databases by Global and Shape Features
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
CLIMS - A System for Image Retrieval by Using Colour and Wavelet Features
ADVIS '00 Proceedings of the First International Conference on Advances in Information Systems
Hierarchical video indexing based on changes of camera and object motions
Proceedings of the 2003 ACM symposium on Applied computing
A framework for aligning and indexing movies with their script
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
SketchIt: basketball video retrieval using ball motion similarity
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
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We present several algorithms suitable for analysis of broadcast video. First, we show how wavelet analysis of frames of video can be used to detect transitions between shots in a video stream, thereby dividing the stream into segments. Next we describe how each segment can be inserted into a video database using an indexing scheme that involves a wavelet-based "signature." Finally, we show that during a subsequent broadcast of a similar or identical video clip, the segment can be found in the database by quickly searching for the relevant signature. The method is robust against noise and typical variations in the video stream, even global changes in brightness that can fool histogram-based techniques. In the paper, we compare experimentally our shot transition mechanism to a color histogram Implementation, and also evaluate the effectiveness of our database-searching scheme. Our algorithms are very efficient and run in realtime on a desktop computer. We describe how this technology could be employed to construct a "smart VCR" that was capable of alerting the viewer to the beginning of a specific program or identifying commercials and then muting the volume on the TV.