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Classification of Near-Duplicate Video Segments Based on their Appearance Patterns Ide, Ichiro Shamoto, Yuji Deguchi, Daisuke Takahashi, Tomokazu Murase, Hiroshi open access © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Video classification broadcast video archive near-duplicate video segments We propose a method that analyzes the structure of a large volume of general broadcast video data by the appearance patterns of near-duplicate video segments. We define six classification rules based on the appearance patterns of near-duplicate video segments according to their roles, and evaluated them over more than 1,000 hours of actual broadcast video data. IEEE 2010 eng journal article AM http://hdl.handle.net/2237/14469 https://nagoya.repo.nii.ac.jp/records/12585 https://doi.org/10.1109/ICPR.2010.766 1051-4651 20th International Conference on Pattern Recognition (ICPR) 3129 3133 https://nagoya.repo.nii.ac.jp/record/12585/files/1040.pdf application/pdf 472.7 kB 2018-02-20