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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Roopalakshmi, R. Reddy, G.R.M. |
| Copyright Year | 2011 |
| Description | Author affiliation: National Institute of Technology (NITK), Surathkal, Mangalore, India (Roopalakshmi, R.; Reddy, G.R.M.) |
| Abstract | Content-Based Copy Detection (CBCD) is an emergent research topic and has been extensively studied recently. Color is one of the most important and easily recognizable features of visual content. To address efficiency and effectiveness issues of CBCD systems, in this article a compact and computationally inexpensive CBCD scheme using MPEG-7 Dominant Color Descriptor is proposed. This paper proposes a novel dominant color extraction technique, which solves the intrinsic problems of existing color clustering techniques. Experimental results show that the proposed scheme improves detection accuracy up to 38%, and also supports significant reduction in total computational cost up to the extent of 91%, when compared with that of existing schemes against various video transformations. |
| Starting Page | 880 |
| Ending Page | 883 |
| File Size | 256068 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457705885 |
| e-ISBN | 9781457705908 |
| DOI | 10.1109/ICRTIT.2011.5972370 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-03 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Accuracy Spatial coherency Image color analysis Spatial coherence Transform coding Video copy detection Dominant color descriptor Feature extraction Computational efficiency Pixel |
| Content Type | Text |
| Resource Type | Article |
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