eprintid: 3786
rev_number: 8
eprint_status: archive
userid: 413
dir: disk0/00/00/37/86
datestamp: 2019-12-10 15:47:43
lastmod: 2019-12-10 15:47:43
status_changed: 2019-12-10 15:47:43
type: article
metadata_visibility: show
creators_name: Nguyen, Diep Thi-Ngoc
creators_name: Kiyoki, Yasushi
title: Multicontext-adaptive indexing and search for large-scale video navigation
ispublished: pub
subjects: IT
subjects: Scopus
divisions: fac_fit
abstract: Many multimedia retrieval tasks are faced with increasingly large-scale datasets and variously changing preferences of users in each query. There are at least three distinctive contextual aspects comprised to form a set of preferences of a user at each query time: content, intention, and response time. A content preference refers to the low-level or semantic representations of the data that a user is interested in. An intention preference refers to how the content should be regarded as relevant. And a response time preference refers to the ability to control a reasonable wait time. This paper features the dynamic adaptability of a multimedia search system to the contexts of its users and proposes a multicontext-adaptive indexing and search system for video data. The main contribution is the integration of context-based query creation functions with high-performance search algorithms into a unified search system. The indexing method modifies inverted list data structure in order to construct disk-resident databases for large-scale data and efficiently enables a dynamic pruning search mechanism on those indices. We implement a frame-wise video navigation system as an application of the indexing and search system using the a 2.14 TB movie dataset. Experimental studies on this system show the effectiveness of the proposed pruning search method when dealing with dynamic contexts and its comparative high search performance.
date: 2017
official_url: http://dx.doi.org/10.1007/s13735-017-0122-2
id_number: 10.1007/s13735-017-0122-2
contact_email: ngocdiep@vnu.edu.vn
full_text_status: public
publication: International Journal of Multimedia Information Retrieval
volume: 6
number: 2
pagerange: 175-188
refereed: TRUE
issn: 2192-6611
citation:   Nguyen, Diep Thi-Ngoc and Kiyoki, Yasushi  (2017) Multicontext-adaptive indexing and search for large-scale video navigation.  International Journal of Multimedia Information Retrieval, 6  (2).   pp. 175-188.  ISSN 2192-6611     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3786/1/%5B2017%20spinger%20ijmir%5D%20Multicontext-adaptive%20indexing%20and%20search%20for%20large-scale%20video%20navigation.pdf