Name
Abstract | ||
|---|---|---|
Each multimedia content can exist in different versions, e.g. different compression rates. Thus, cryptographic hash functions cannot be used for multimedia content identification or verification as they are sensitive to bit flips. In this case, perceptual hash functions that consider perceptual similarity apply. This article describes some of the different existing approaches for video data. One algorithm based on spatio-temporal color difference is investigated. The article shows how this method can be improved by using a simple similarity measure. We analyze the performance of the new method and compare it with the original method. The proposed algorithm shows increased reliability of video identification both in robustness and discriminating capabilities. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11596981_12 | CIS (2) |
Keywords | Field | DocType |
multimedia content,video content,perceptual similarity,cryptographic hash function,original method,different existing approach,differential block similarity,different compression rate,new method,multimedia content identification,perceptual hash function,different version,hash function | Similarity measure,Cryptography,Computer science,Theoretical computer science,Robustness (computer science),Artificial intelligence,Case-based reasoning,Similitude,Pattern recognition,Cryptographic hash function,Hash function,Perceptual hashing,Machine learning | Conference |
Volume | ISSN | ISBN |
3802 | 0302-9743 | 3-540-30819-9 |
Citations | PageRank | References |
8 | 0.66 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xuebing Zhou | 1 | 150 | 13.14 |
| Martin Schmucker | 2 | 138 | 16.11 |
| Christopher L. Brown | 3 | 21 | 3.30 |