Feature management for large video databases
| Autor: | Arding Hsu, Farshid Arman, Ming-Yee Chiu |
|---|---|
| Rok vydání: | 1993 |
| Předmět: |
Motion compensation
Video post-processing Database Video capture Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Video processing computer.software_genre Video compression picture types Video tracking Computer vision Artificial intelligence Multiview Video Coding business computer Block-matching algorithm |
| Zdroj: | Storage and Retrieval for Image and Video Databases (SPIE) |
| ISSN: | 0277-786X |
| Popis: | Large video databases, as well as many other applications involving video, such as multimedia, training, and `movie-on-demand' systems, require efficient steps to manipulate the enormous amount of data associated with full motion video. In this paper the incoming video is systematically and efficiently reduced via a frame selection procedure which takes advantage of the fact that the incoming video is encoded using one of several existing DCT- based standards. The procedure is performed in the frequency domain prior to video decoding. Further refinement in the frame selection step is achieved using a robust metric based upon the color histogram of the selected subset of decoded frames. The procedure is presented in detail and several examples are exhibited. |
| Databáze: | OpenAIRE |
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