Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

2-2018

Abstract

The VIREO Known-Item Search (KIS) system has joined the Video Browser Showdown (VBS) [1] evaluation benchmark for the first time in year 2017. With experiences learned, the second version of VIREO KIS is presented in this paper. Considering the color-sketch based retrieval, we propose a simple grid-based approach for color query. This method allows the aggregation of color distributions in video frames into a shot representation, and generates the pre-computed rank list for all available queries which reduces computational resources and favors a recommendation module. With focusing on concept based retrieval, we modify our multimedia event detection system at TRECVID 2015 in VIREO KIS 2017. In this year, the concept bank of VIREO KIS has been upgraded to 14K concepts. An adaptive concept selection, combination and expansion mechanism, which assists the user in picking the right concepts and logically combining concepts to form more expressive query, has been developed. In addition, metadata is included for textual query and some interface designs are also revised for providing a flexible view of results to the user.

Keywords

Color sketch query, Concept combination, Concept query, Concept selection, Known-Item Search, Video search

Discipline

Databases and Information Systems | Graphics and Human Computer Interfaces

Research Areas

Intelligent Systems and Optimization

Publication

MultiMedia Modeling: 24th International Conference, MMM 2018, Bangkok, Thailand, February 5-7: Proceedings

Volume

10705

First Page

407

Last Page

412

ISBN

9783319735993

Identifier

10.1007/978-3-319-73600-6_42

Publisher

Springer

City or Country

Cham

Additional URL

https://doi.org/10.1007/978-3-319-73600-6_42

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