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Video linkage: group based copied video detection

Published: 07 July 2008 Publication History

Abstract

Sites to share user-created video clips such as YouTube and Yahoo Video have become greatly popular in recent years. One of the challenges of such sites is, however, to prevent video clips that violate copyrights by illegally copying and editing scenes from other videos. Due to the sheer number of clips uploaded every day, automatic methods to detect (illegally) copied video clips in a large collection are desirable. Toward this problem, in this paper, we present a novel framework, termed as Video Linkage, that is based on the record linkage techniques. Our proposal is based on the observations that: (1) a video clip can be represented as a "group" of key frames, (2) two video clips are deemed to be similar if two groups of key frames are similar as a whole - i.e., the similarity of two video clips can be measured by means of graph-based similarity measures such as maximal cardinality bipartite matching, and (3) if a video clip va is copied to vb, then va and vb must be somehow similar, but not all similar video clips are illegally copied ones - i.e., similar videos can be used as a filter for fast detection of copied videos. The validity of our observations and Video Linkage technique is thoroughly evaluated using both real and synthetic data sets - i.e., on average, our proposals achieved 0.94 as precision and 0.93 as recall across 10 genres and 6 editing patterns.

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cover image ACM Conferences
CIVR '08: Proceedings of the 2008 international conference on Content-based image and video retrieval
July 2008
674 pages
ISBN:9781605580708
DOI:10.1145/1386352
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 07 July 2008

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Author Tags

  1. copyright
  2. linkage
  3. video

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  • (2019)Multiscale video sequence matching for near-duplicate detection and retrievalMultimedia Tools and Applications10.1007/s11042-018-5862-378:1(311-336)Online publication date: 1-Jan-2019
  • (2017)Content Coverage and Redundancy Removal in Video SummarizationIntelligent Analysis of Multimedia Information10.4018/978-1-5225-0498-6.ch013(352-374)Online publication date: 2017
  • (2016)Redundancy Elimination in Video SummarizationImage Feature Detectors and Descriptors10.1007/978-3-319-28854-3_7(173-202)Online publication date: 23-Feb-2016
  • (2015)A Privacy-Preserving Bipartite Graph Matching Framework for Multimedia Analysis and RetrievalProceedings of the 5th ACM on International Conference on Multimedia Retrieval10.1145/2671188.2749286(243-250)Online publication date: 22-Jun-2015
  • (2014)Near-Duplicate Subsequence Matching Between the Continuous Stream and Large Video DatasetIEEE Transactions on Multimedia10.1109/TMM.2014.234266816:7(1952-1962)Online publication date: Nov-2014
  • (2013)Copy Detection Using Graphical ModelGraph-Based Methods in Computer Vision10.4018/978-1-4666-1891-6.ch014(261-279)Online publication date: 2013
  • (2013)Content-based copy detection through multimodal feature representation and temporal pyramid matchingACM Transactions on Multimedia Computing, Communications, and Applications10.1145/2542205.254220810:1(1-20)Online publication date: 27-Dec-2013
  • (2013)Copyright Infringement Detection of Music Videos on YouTube by Mining Video and Uploader Meta-dataProceedings of the Second International Conference on Big Data Analytics - Volume 830210.1007/978-3-319-03689-2_4(48-67)Online publication date: 16-Dec-2013
  • (2012)Archive Film ComparisonMethods and Innovations for Multimedia Database Content Management10.4018/978-1-4666-1791-9.ch011(188-202)Online publication date: 2012
  • (2011)Frame Fusion for Video Copy DetectionIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2011.210555421:1(15-28)Online publication date: 1-Jan-2011
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