A novel content Based Scene Retrieval using multi-frame features

Author

Tien Tan Ngo ; Dung Vo

Author_Institution

Fac. of Electr. & Electron. Eng., Ho Chi Minh City Univ. of Technol., Ho Chi Minh City, Vietnam

fYear

2014

Firstpage

105

Lastpage

108

Abstract

This paper proposes a novel algorithm for Content Based Scene Retrieval (CBSR) using video features such as moment, histogram, Edge Histogram Descriptor (EHD)... This application is similar for Content Based Image Retrieval (CBIR) but instead of finding corresponding images in the database, it identifies the corresponding scene which contains the testing frame. The proposed algorithm can deal with scene with similar contents which has not been mentioned in other methods. The simulation results show that identification performance obtains the accuracy up to 99.42% for a 2:31 minute trailer.

Keywords

content-based retrieval; feature extraction; image colour analysis; image retrieval; video signal processing; CBIR; CBSR; EHD; color histogram; content based image retrieval; content based scene retrieval; edge histogram descriptor; moment; multiframe features; scene identification detection; testing frame; video features; Accuracy; Databases; Feature extraction; Histograms; Image color analysis; Image edge detection; Testing; color histogram; content based image retrieval (CBIR); edge histogram descriptor (EHD); moment; scene identification detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Technologies for Communications (ATC), 2014 International Conference on

Print_ISBN

978-1-4799-6955-5

Type

conf

DOI

10.1109/ATC.2014.7043365

Filename

7043365