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Information Technology Journal

Year: 2013 | Volume: 12 | Issue: 12 | Page No.: 2465-2469
Research Article

A Chunk-based Copy Detection Approach for Multimedia Documents

Li Guo
School of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China
Bo Jin
School of Innovation Experiment, Dalian University of Technology, Dalian 116024, China
Degen Huang
School of Computer Science and Technology, Dalian University of Technology, Dalian 116024, China
Copy detection is important to both intellectual property protection and information retrieval. Prior researches on copy detection (e.g., hash-based fingerprinting algorithm, etc.) concentrated on document-level copy detection. These researches have difficulty to detect complicated multimedia documents. In this study, a chunk-based copy detection approach is discussed. And a Fingerprint-based Heuristic Algorithm (FHA) is proposed based on fixed-length chunks and overlap of chunks. With experiments and results, the proposed approach can deal with both total copy detection and partial copy detection of multimedia documents.
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