In:
ACM Transactions on Multimedia Computing, Communications, and Applications, Association for Computing Machinery (ACM), Vol. 6, No. 2 ( 2010-03), p. 1-23
Abstract:
The increase in the number of video copies, both legal and illegal, has become a major problem in the multimedia and Internet era. In this article, we propose a novel method for detecting various video copies in a video sequence. To achieve fast and robust detection, the method fully integrates several components, namely the min-hashing signature to compactly represent a video sequence, a spatio-temporal matching scheme to accurately evaluate video similarity compiled from the spatial and temporal aspects, and some speedup techniques to expedite both min-hashing indexing and spatio-temporal matching. The results of experiments demonstrate that, compared to several baseline methods with different feature descriptors and matching schemes, the proposed method which combines both global and local feature descriptors yields the best performance when encountering a variety of video transformations. The method is very fast, requiring approximately 0.06 seconds to search for copies of a thirty-second video clip in a six-hour video sequence.
Type of Medium:
Online Resource
ISSN:
1551-6857
,
1551-6865
DOI:
10.1145/1671962.1671966
Language:
English
Publisher:
Association for Computing Machinery (ACM)
Publication Date:
2010
detail.hit.zdb_id:
2182650-X
Permalink