Hybrid query for video database system

Citation

Affendey, Lilly Suriani and Mamat, Ali and Ibrahim, Hamidah and Ahmad, Fatimah (2008) Hybrid query for video database system. In: Knowledge Management International Conference 2008 (KMICe 2008), 10-12 June 2008, Langkawi, Kedah. (pp. 327-332).

Abstract

Many video retrieval systems support text and low-level feature-based querying, however only single homogeneous queries are allowed. In this paper we present a Video Database System (VDBS) based on our video data model that captures the hierarchical structure and contents of video to support hybrid query. The system supports query using similarity-based matching of low-level visual features as well as exact matching of textual attributes. The experiment shows that hybrid query gives more accurate results when compared to single query using text or image alone by eliminate results that are similar in colour but has different semantic, or vice versa.

Download File

Text
327-332-CR150.pdf
Restricted to Repository staff only
Download (41kB)

Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Computer Science and Information Technology
Publisher:	Universiti Utara Malaysia
Keywords:	Video database; Video query; Similarity-based matching
Depositing User:	Nabilah Mustapa
Date Deposited:	21 Mar 2018 06:19
Last Modified:	21 Mar 2018 06:19
URI:	http://psasir.upm.edu.my/id/eprint/59737
Statistic Details:	View Download Statistic

Actions (login required)

View Item