A Novel Method for Video Retrieval Using Relevant Feedback

Author

Shen, Yongbin ; Yan, Yixin ; Li, Shengming

Author_Institution

Coll. of Meas.-Control Technol. & Commun. Eng., Harbin Univ. of Sci. & Technol., Harbin, China

fYear

2009

fDate

June 30 2009-July 2 2009

Firstpage

542

Lastpage

545

Abstract

In this paper, we propose a relevant feedback algorithm based on supervised classification and unsupervised feature extraction using independent component analysis (ICA). First, we calculate the approximate coefficients of video frames in a single shot by two-level Haar wavelet decomposition; second,ICA is utilized to obtain the independent components of the wavelet coefficients, which are used to represent video frames. Simulation results demonstrated the validity of the algorithm.

Keywords

Haar transforms; feature extraction; image representation; independent component analysis; relevance feedback; video retrieval; wavelet transforms; independent component analysis; relevant feedback algorithm; simulation result; supervised classification; two-level Haar wavelet decomposition; unsupervised feature extraction; video frame representation; video retrieval; wavelet coefficient; Content based retrieval; Data mining; Feature extraction; Feedback; Humans; Image retrieval; Independent component analysis; Information retrieval; Video on demand; Videoconference;

fLanguage

English

Publisher

ieee

Conference_Titel

New Trends in Information and Service Science, 2009. NISS '09. International Conference on

Conference_Location

Beijing

Print_ISBN

978-0-7695-3687-3

Type

conf

DOI

10.1109/NISS.2009.232

Filename

5260897