Online near-duplicate video clip detection and retrieval: An accurate and fast system

Zi Huang*, Liping Wang, Heng Tao Shen, Jie Shao, Xiaofang Zhou

*Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/ReportConference Paper published in a bookpeer-review

15 Citations (Scopus)

Abstract

Video search has become a compelling research topic in recent years, due to the proliferation of online video uploading/sharing sites and the exponential explosion of video data. In this demonstration, we showcase a Web-based integrated platform which performs online detection of near-duplicate occurrences over continuous video streams, as well as retrieval of near-duplicate clips from segmented video collections. In particular, our method to detect relevant subsequences in a streaming video is characterized by a novel one-dimensional distance trajectory capturing the changes of consecutive frames. Such a trajectory is further represented by a sequence of compact signatures. An effective similarity measure is devised to compare the trajectory with multiple query videos. This system shows a number of new features compared with our previous prototype.

Original languageEnglish
Title of host publicationProceedings - 25th IEEE International Conference on Data Engineering, ICDE 2009
Pages1511-1514
Number of pages4
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event25th IEEE International Conference on Data Engineering, ICDE 2009 - Shanghai, China
Duration: 29 Mar 20092 Apr 2009

Publication series

NameProceedings - International Conference on Data Engineering
ISSN (Print)1084-4627

Conference

Conference25th IEEE International Conference on Data Engineering, ICDE 2009
Country/TerritoryChina
CityShanghai
Period29/03/092/04/09

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