VIDEO CONTENT RETRIEVAL USING IMAGE FEATURE SELECTION

Authors

  • D. Saravanan

Keywords:

Index Terms—Video data mining, Data mining, Key frame extraction, Knowledge Extraction, Multimedia Data’s. Data extraction, Video dates, Frames.

Abstract

Multimedia is any combination of content written in text, drawing, and sound, moving picture, delivered to you by computer or
other electronic or digitally manipulated means. Through the rapid growth of multimedia technology, multimedia content can be
created, shared and distributed easily. The amount of available digital resources is continuously increasing, promoted by a
growing interest of users and by the development of new technology for the ubiquitous enjoyment of digital resources. The
acquisition and storage of video data is an easy task but retrieval of information from video data is challenging .The general
method of representing each video segment is shot that is a sequence of key frame(s) where those frames contained the
‘meaningful’ frames also the frame contained the important contents of the shot. The key frame(s) based shot method is
specifically assisted for searching the video content as clients provided image query/search where an image will be matched with
the indexed key frames with assist of resemblance distance. As a result, the key frames selection is most significant and several
methods are used to automate the process. This paper proposes a new technique for key frame selection. The proposed method
show significant ally good and the experiments prove the above statement.

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Published

2016-12-25

How to Cite

D. Saravanan. (2016). VIDEO CONTENT RETRIEVAL USING IMAGE FEATURE SELECTION. Pakistan Journal of Biotechnology, 13(3), 215–219. Retrieved from https://pjbt.org/index.php/pjbt/article/view/7

Issue

Section

Research Articles