Publication Type

Journal Article

Version

publishedVersion

Publication Date

6-2014

Abstract

Organizing video search results in a list view is widely adopted by current commercial search engines, which cannot support efficient browsing for complex search topics that have multiple semantic facets. In this article, we propose to organize video search results in a highly structured way. Specifically, videos are placed on a semantic hierarchy that accurately organizes various facets of a given search topic. To pick the most suitable videos for each node of the hierarchy, we define and utilize three important criteria: relevance, uniqueness, and diversity. Extensive evaluations on a large YouTube video dataset demonstrate the effectiveness of our approach.

Keywords

Algorithms, Design, Experimentation, Web video browsing, video organization, visualization

Discipline

Data Storage Systems | Graphics and Human Computer Interfaces | Theory and Algorithms

Research Areas

Intelligent Systems and Optimization

Publication

ACM Transactions on Multimedia Computing, Communications and Applications

Volume

10

Issue

4

First Page

1

Last Page

120

ISSN

1551-6857

Identifier

10.1145/2578394

Publisher

Association for Computing Machinery (ACM)

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