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PERFORMANCE ANALYSIS OF FINGERPRINTING EXTRACTION ALGORITHM IN VIDEO COPY DETECTION SYSTEM

A video fingerprint is a recognizer that is derived from a piece of video content. The video fingerprinting methods obtain unique features of a video that differentiates one video clip from another. It aims to identify whether a query video segment is a copy of video from the video database or not based on the signature of the video. It is difficult to find whether a video is a copied video or a similar video, since the features of the content are very similar from one video to the other. The main focus of this paper is to detect that the query video is present in the video database with robustness depending on the content of video and also by fast search of fingerprints. The Fingerprint Extraction Algorithm and Fast Search Algorithms are adopted in this paper to achieve robust, fast, efficient and accurate video copy detection. As a first step, the Fingerprint Extraction algorithm is employed which extracts a fingerprint through the features from the image content of video. The images are represented as Temporally Informative Representative Images (TIRI). Then, the second step is to find the presence of copy of a query video in a video database, in which a close match of its fingerprint in the corresponding fingerprint database is searched using inverted-filebased method. The proposed system is tested against various attacks like noise, brightness, contrast, rotation and frame drop. Thus the performance of the proposed system on an average shows high true positive rate of 98% and low false positive rate of 1.3% for different attacks.