Name
Abstract | ||
|---|---|---|
In this paper, we propose a new image feature extraction method for MPEG compressed video. To minimize the MPEG decoding process, we use only DC values for Y, Cr, and Cb components for each macroblock. Then, we can obtain a feature vector using the decoded DC values of Y, Cr, and Cb components for all macroblocks in an I frame. The feature vector consists of histograms for various colors, luminance, and edge types. In obtaining histograms for colors and luminance features, we consider the ratio of contributing pure colors and luminance to the chroma DC values for each macroblock. Then, we update all contributing colors and/or luminance histograms accordingly. Otherwise, if the macro block is classified as an edge block, then we update the corresponding edge type histogram. To demonstrate the performance of the proposed feature extraction method, we apply it to a scene change detection problem. |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1117/12.333888 | STORAGE AND RETRIEVAL FOR IMAGE AND VIDEO DATABASES VII |
Keywords | Field | DocType |
compressed-domain feature extraction, MPEG-2, color features, histogram, scene change detection | Macroblock,Computer vision,Histogram,Feature vector,Pattern recognition,Computer science,Image processing,Image segmentation,Feature extraction,Artificial intelligence,Luminance,Color image | Conference |
Volume | ISSN | Citations |
3656 | 0277-786X | 5 |
PageRank | References | Authors |
1.60 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chee Sun Won | 1 | 573 | 87.74 |
| Dong Kwon Park | 2 | 166 | 15.47 |
| in y na | 3 | 5 | 1.60 |
| Seong-Joon Yoo | 4 | 102 | 16.88 |