Handbook of Applied Cryptography
Handbook of Applied Cryptography
Histogram-Based Perceptual Hashing for Minimally Changing Video Sequences
AXMEDIS '06 Proceedings of the Second International Conference on Automated Production of Cross Media Content for Multi-Channel Distribution
From image hashing to video hashing
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Robust video hashing based on radial projections of key frames
IEEE Transactions on Signal Processing - Part II
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Perceptual hashing is an emerging solution for identification and authentication of multimedia content. In this work, a video hash algorithm is proposed. This algorithm computes a 180-bit hash value for videos of arbitrary lengths. The hash value can resist common signal processing and slight geometric distortion. The basic mechanism of the algorithm is to compute and accumulate frame hash values. A frame hash algorithm is designed by combining semi-global and local features. Semi-global features are extracted by computing several statistics from image blocks. Local features are extracted by computing a compact edge density map around stable feature points. The good performance of the new algorithm has been demonstrated by experiments.