Neural net based scene change detection for video classification

Author

Rao, R. K Mallikarjuna ; Ramakrishnan, K.R. ; Balakrishnan, N. ; Srinivasan, S.H.

Author_Institution

Supercomput. Educ. & Res. Centre, Indian Inst. of Sci., Bangalore, India

fYear

1999

fDate

1999

Firstpage

247

Lastpage

252

Abstract

A new technique for scene change detection using neural networks is proposed to operate on compressed video data obtained with only minimal decoding of video. In this paper various types of neural network structures have been trained and tested on different varieties of video clips. The neural networks are shown to be robust for camera activities and object movements. They gave comparatively good results over the conventional techniques. All the algorithms are tested on MPEG-1 video streams

Keywords

data compression; decoding; feedforward neural nets; image classification; image segmentation; learning (artificial intelligence); radial basis function networks; recurrent neural nets; video coding; MPEG-1 video streams; algorithms; camera activities; compressed video data; feedforward neural network; neural net based scene change detection; neural network structures; neural network training; object movements; radial basis neural network; recurrent neural network; video classification; video clips; video decoding; video segmentation; Data mining; Decoding; Image segmentation; Intelligent robots; Intelligent systems; Layout; Neural networks; Robustness; Testing; Video compression;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Signal Processing, 1999 IEEE 3rd Workshop on

Conference_Location

Copenhagen

Print_ISBN

0-7803-5610-1

Type

conf

DOI

10.1109/MMSP.1999.793840

Filename

793840