Title
Effective content-based video retrieval using pattern-indexing and matching techniques
Abstract
Recently, multimedia data grows rapidly due to the advanced multimedia capturing devices, such as digital video recorder, mobile camera and so on. Since conventional query-by-text retrieval cannot satisfy users' requirements in finding the desired videos effectively, content-based video retrieval is regarded as one of the most practical solutions to improve the retrieval quality. In addition, video retrieval using query-by-image is not successful in associating the videos with user's interest either. In this paper, we propose an innovative method to achieve the high quality of content-based video retrieval by discovering the temporal patterns in the video contents. On basis of the discovered temporal patterns, an efficient indexing technique and an effective sequence matching technique are integrated to reduce the computation cost and to raise the retrieval accuracy, respectively. Experimental results reveal that our approach is very promising in enhancing content-based video retrieval in terms of efficiency and effectiveness.
Year
DOI
Venue
2010
10.1016/j.eswa.2009.12.003
Expert Syst. Appl.
Keywords
Field
DocType
retrieval accuracy,fast-pattern-index tree,efficient indexing technique,conventional query-by-text retrieval,sequence matching,video content,retrieval quality,content-based video retrieval,effective content-based video retrieval,digital video recorder,pattern-based search,video retrieval,temporal pattern,advanced multimedia,user requirements,satisfiability,indexation
Data mining,Sequence matching,Video processing,Information retrieval,Video retrieval,Computer science,Search engine indexing,Video tracking,Video compression picture types,Visual Word,Computation
Journal
Volume
Issue
ISSN
37
7
Expert Systems With Applications
Citations 
PageRank 
References 
12
0.59
17
Authors
4
Name
Order
Citations
PageRank
Ja-Hwung Su132924.53
Yu-Ting Huang2120.59
Hsin-Ho Yeh31337.26
Vincent S. Tseng42923161.33