Paper Info
Title
Histogram-Based Perceptual Hashing for Minimally Changing Video Sequences
Abstract
An increasing number of multimedia applications require techniques for efficient and automatic content identification and verification. Here, perceptual hashing technologies apply. Due to the diverseness of video data, algorithms whose design considers the properties of the different video classes are required Therefore, different approaches exist to extract a perceptual hash. In this article, we propose a histogram-based perceptual hashing algorithm for minimally changing video sequences. The algorithm is described and the performed evaluation shows improvements of the identification performance for minimally changing video content.
Year
DOI
Venue
2006
10.1109/AXMEDIS.2006.30
AXMEDIS
Keywords
Field
DocType
video sequences,histogram-based perceptual hashing,content management
Computer vision,Histogram,Video processing,Computer science,Multiview Video Coding,Video tracking,Hash function,Artificial intelligence,Content management,Perceptual hashing,Video compression picture types
Conference
ISBN
Citations 
PageRank 
0-7695-2625-X
11
0.72
References 
Authors
7
3
Name
Order
Citations
PageRank
Kevin Hamon1110.72
Martin Schmucker213816.11
Xuebing Zhou315013.14