Twofold Video Hashing with Automatic Synchronization

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13 Scopus citations


As a robust media representation technique, video hashing is frequently used in near-duplicate detection, video authentication, and antipiracy search. Distortions to a video may include spatial modifications to each frame, temporal de-synchronization, and joint spatio-temporal attacks. To address the increasingly difficult case of finding videos under spatio-temporal modifications, we propose a new framework called two-stage video hashing. First, an efficient automatic synchronization is achieved using dynamic time warping (DTW) and a complementary video comparison measure is developed based on flow hashing (FH), which is extracted from the synchronized videos. Next, a fusion mechanism called distance boosting is proposed to fuse the information extracted by DTW and FH in a future-proof manner in the sense whenever model retraining is needed, the existing hash vectors do not need to be regenerated. Experiments on real video collections show that such a hash extraction and fusion method enables unprecedented robustness under both spatial and temporal attacks.

Original languageEnglish (US)
Article number7091899
Pages (from-to)1727-1738
Number of pages12
JournalIEEE Transactions on Information Forensics and Security
Issue number8
StatePublished - Aug 1 2015

All Science Journal Classification (ASJC) codes

  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications


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