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  1. Proceedings of the 1st ACM international workshop on Multimedia databases (MMDB '03)
  2. Robust content-based image searches for copyright protection
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The CPR model for summarizing video
Facilitate knowledge communications
Content based sub-image retrieval via hierarchical tree matching
Mining spatio-temporal patterns and knowledge structures in multimedia collection
Automatic generation of MPEG-7 compliant XML document for motion trajectory descriptor in sports video
Scheduling methods for broadcasting multiple continuous media data
Robust content-based image searches for copyright protection
Constructing a bowling information system with video content analysis
Kernel VA-files for relevance feedback retrieva
Image database retrieval utilizing affinity relationships
Video query processing in the VDBMS testbed for video database research
Bitmap indexing method for complex similarity queries with relevance feedback
Improving image retrieval effectiveness via multiple queries

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Robust content-based image searches for copyright protection

Content Provider ACM Digital Library
Author Berrani, Sid-Ahmed Amsaleg, Laurent Gros, Patrick
Abstract This paper proposes a novel content-based image retrieval scheme for image copy identification. Its goal is to detect matches between a set of doubtful images and the ones stored in the database of the legal holders of the photographies. If an image was stolen and used to create a pirated copy, it tries to identify from which original image that copy was created. The image recognition scheme is based on local differential descriptors. Therefore, the matching process takes into account a large set of variations that might have been applied to stolen images in order to create pirated copies. The high cost and the complexity of this image recognition scheme requires a very efficient retrieval process since many individual queries must be executed before being able to construct the final result. This paper therefore proposes to use a novel search method that trades the precision of each individual search for reduced query execution time. This imprecision has only little impact on the overall recognition performance since the final result is a consolidation of many partial results. However, it dramatically accelerates queries. This result has then been corroborated by a theoretically study. Experiments show the efficiency and the robustness of the proposed scheme.
Starting Page 70
Ending Page 77
Page Count 8
File Format PDF
ISBN 1581137265
DOI 10.1145/951676.951690
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2003-11-07
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Approximate nearest-neighbor searches Copyright protection Content-based image retrieval Fine grain Recognition
Content Type Text
Resource Type Article
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