Content based cartoon video classification using Dynamic Thepade´s Ternary Block Truncation Coding (DTTBTC)

Author

Shinde, Sandhya ; Kulkarni, Siddhant ; Bhatia, Deepti ; Sabale, Sonali

Author_Institution

Dept. of Inf. Technol., Pimpri Chinchwad Coll. of Eng., Pune, India

fYear

2015

Firstpage

1

Lastpage

6

Abstract

Content Based Video Classification is becoming necessary for various video analysis applications to be able to handle humongous amounts of video data being generated & shared all over the Internet. This paper proposes use of DTTBTC for color based feature extraction from video key frames which are used by machine learning classifiers for training & testing. Experimental results show accuracy of video classification using combinations of color spaces, classifiers & data pre-processing techniques.

Keywords

block codes; feature extraction; image colour analysis; learning (artificial intelligence); ternary codes; video signal processing; DTTBTC; Internet; color based feature extraction; color spaces; content based cartoon video classification; data pre-processing techniques; dynamic thepade ternary block truncation coding; machine learning classifiers; video analysis applications; Accuracy; Bayes methods; Encoding; Feature extraction; Image color analysis; Testing; Training; Data pre-processing; Dynamic Ternary Block Truncation Coding; K-Nearest Neighbor; Naive Bayesian; OneR; Video Classification;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication, Information & Computing Technology (ICCICT), 2015 International Conference on

Conference_Location

Mumbai

Print_ISBN

978-1-4799-5521-3

Type

conf

DOI

10.1109/ICCICT.2015.7045741

Filename

7045741