A SURVEY ON CONTENT BASED VIDEO RETRIEVAL USING MPEG-7 VISUAL DESCRIPTORS

Authors

  • Kinjal Acharya Dharmsinh Desai University, Nadiad, India
  • Prof. Tushar Ratanpara Department of Computer Engineering, Dharmsinh Desai University, Nadiad, India

Keywords:

Content based video retrieval, MPEG-7, shot detection, key frame extraction, visual descriptor

Abstract

The volume of the video content grows very fast and most of the video search systems are based on manual
annotations or use text information. But such information is not always of high quality or lack precision. In the field of
multimedia technology, video retrieval has become one of the fastest growing research areas. Several methods have been
developed for retrieval of videos based on extracting their visual features automatically in recent years. The most
commonly used low level visual features are colour, texture, shape, motion and spatial-temporal composition. The use of
visual descriptors of MPEG 7 is to provide interoperability of system because of its standardization. This paper describes
the applications, challenges, methods and limitations of content based video retrieval systems. It also explains the
MPEG-7 visual descriptors with their application.

Published

2017-03-25

How to Cite

Kinjal Acharya, & Prof. Tushar Ratanpara. (2017). A SURVEY ON CONTENT BASED VIDEO RETRIEVAL USING MPEG-7 VISUAL DESCRIPTORS. International Journal of Advance Engineering and Research Development (IJAERD), 4(3), 699–705. Retrieved from https://ijaerd.com/index.php/IJAERD/article/view/2173