Publication Type

Journal Article

Version

publishedVersion

Publication Date

8-2013

Abstract

The exponential growth of online videos, along with increasing user involvement in video-related activities, has been observed as a constant phenomenon during the last decade. User's time spent on video capturing, editing, uploading, searching, and viewing has boosted to an unprecedented level. The massive publishing and sharing of videos has given rise to the existence of an already large amount of near-duplicate content. This imposes urgent demands on near-duplicate video retrieval as a key role in novel tasks such as video search, video copyright protection, video recommendation, and many more. Driven by its significance, near-duplicate video retrieval has recently attracted a lot of attention. As discovered in recent works, latest improvements and progress in near-duplicate video retrieval, as well as related topics including low-level feature extraction, signature generation, and high-dimensional indexing, are employed to assist the process.As we survey the works in near-duplicate video retrieval, we comparatively investigate existing variants of the definition of near-duplicate video, describe a generic framework, summarize state-of-the-art practices, and explore the emerging trends in this research topic.

Keywords

Indexing, Near-duplicate video, Video retrieval

Discipline

Data Storage Systems | Theory and Algorithms

Research Areas

Intelligent Systems and Optimization

Publication

ACM Computing Surveys

Volume

45

Issue

4

First Page

1

Last Page

23

ISSN

0360-0300

Identifier

10.1145/2501654.2501658

Publisher

Association for Computing Machinery (ACM)

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