Clip-based hierarchical representation for near-duplicate video detection
| Autor: | Tao Mei, Xian-Sheng Hua, Sakrapee Paisitkriangkrai, Jian Zhang |
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| Rok vydání: | 2011 |
| Předmět: |
Information retrieval
Video production business.industry Computer science Applied Mathematics Video copy detection ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Video processing Computer Science Applications Locality-sensitive hashing Video compression picture types Computational Theory and Mathematics Discriminative model Feature (computer vision) Video tracking business |
| Zdroj: | International Journal of Computer Mathematics. 88:3817-3833 |
| ISSN: | 1029-0265 0020-7160 |
| DOI: | 10.1080/00207160.2011.592940 |
| Popis: | Searching for near-duplicate content has become an important task in many multimedia applications, for example, images, videos and music. The ability to detect duplicate videos plays an important role in several video applications, for example, effective video search, copyright infringement and the study on users’ behaviour on near-duplicate video production. Current web video search systems rely only on text keywords and, hence, fail to detect many duplicate videos. In this paper, we analyse the problem of near-duplicate detection and propose a practical solution for real-time large-scale video retrieval. Unlike many existing approaches which make use of video frames or key-frames, our solution is based on a more discriminative signature of video clips. The feature used in this paper is an extension of ordinal measures which have proven to be robust to change in brightness, compression formats and compression ratios. For efficient retrieval, we propose to use multi-probe locality sensitive hashing (MPLSH... |
| Databáze: | OpenAIRE |
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