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Advance on large scale near-duplicate video retrieval

  • Ling SHEN
  • , Richang HONG*
  • , Yanbin HAO
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Emerging Internet services and applications attract increasing users to involve in diverse video-related activities, such as video searching, video downloading, video sharing and so on. As normal operations, they lead to an explosive growth of online video volume, and inevitably give rise to the massive near-duplicate contents. Near-duplicate video retrieval (NDVR) has always been a hot topic. The primary purpose of this paper is to present a comprehensive survey and an updated review of the advance on large-scale NDVR to supply guidance for researchers. Specifically, we summarize and compare the definitions of near-duplicate videos (NDVs) in the literature, analyze the relationship between NDVR and its related research topics theoretically, describe its generic framework in detail, investigate the existing state-of-the-art NDVR systems. Finally, we present the development trends and research directions of this topic.
Original languageEnglish
Article number145702
JournalFrontiers of Computer Science
Volume14
Issue number5
Online published3 Jan 2020
DOIs
Publication statusPublished - Oct 2020

Research Keywords

  • feature representation
  • indexing
  • near-duplicate videos
  • similarity measurement
  • video retrieval
  • video signature

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