Name
Abstract | ||
|---|---|---|
The recognition and retrieval of identical videos by combing through entire video files requires a great deal of time and
memory space. Therefore, most current video-matching methods analyze only a part of each video’s image frame information.
All these methods, however, share the critical problem of erroneously categorizing identical videos as different if they have
merely been altered in resolution or converted with a different codec. This paper deals instead with an identical-video-retrieval
method using the low-peak feature of audio data. The low-peak feature remains relatively stable even with changes in bit-rate
or codec. The proposed method showed a search success rate of 93.7% in a video matching experiment. This approach could provide
a technique for recognizing identical content on video file share sites. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1631/jzus.C0910472 | 浙江大学学报C辑（计算机与电子)(英文版) |
Keywords | Field | DocType |
audio signal processing,video dna,audio feature extraction,video retrieval | Computer vision,Video processing,Video capture,Computer science,Multiview Video Coding,Speech recognition,Video tracking,Artificial intelligence,Smacker video,Video denoising,Video quality,Video compression picture types | Journal |
Volume | Issue | ISSN |
11 | 3 | 1869-196X |
Citations | PageRank | References |
1 | 0.36 | 17 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Myoung-beom Chung | 1 | 21 | 4.31 |
| Il-Ju Ko | 2 | 17 | 6.53 |