SUPPORT VECTOR MACHINE BASED APPROACH FOR TRANSLATING VIDEO SCENERIES TO NATURAL LANGUAGE DESCRIPTIONS

ICTACT Journal on Image and Video Processing ( Volume: 7 , Issue: 4 )

Abstract

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Human uses communication language either by written, spoken or typed to describe visual the world around them. So, the study of text description for any video goes increasing. This paper represents a framework that gives output as a description for any video having a maximum size of 50 seconds by using natural language processing. The framework is divided into two sections called training and testing. The training section is used to train the video with its description like activities of objects present in that video. The trained data is stored into the database with its features of scenario of video. Another section is testing section. The testing section is used to test the video and retrieve the output as description of video. By using Natural language processing sentences are generated from objects and their activities present in the video.

Authors

Vishakha Wankhede, Ramesh M Kagalkar
Dr. D Y Patil School of Engineering and Technology, India

Keywords

Natural language Processing, Video Processing, Video Recognition

Published By
ICTACT
Published In
ICTACT Journal on Image and Video Processing
( Volume: 7 , Issue: 4 )
Date of Publication
May 2017
Pages
1482-1488
Page Views
386
Full Text Views
4

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