Analysis and Detection of Content based Video Retrieval

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Shivanand S. Gornale 1,* Ashvini K Babaleshwar 1 Pravin L Yannawar 2

1. Department of Computer Science, Rani Channamma University, Belagavi, Karnataka.

2. Department of Computer Science & IT, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, (MS) India.

* Corresponding author.


Received: 10 Oct. 2018 / Revised: 21 Dec. 2018 / Accepted: 17 Jan. 2019 / Published: 8 Mar. 2019

Index Terms

Content Based Video Retrieval, Content Base Image Retrieval, Key Frames, and Shot


Content Based Video Retrieval (CBVR) System has been investigated over past decade it’s rooted in many applications like developments and technologies. The demand for extraction of high level semantics contents as well as handling of low level contents in video retrieval systems are still in need. Hence it motivates and encourages many researchers to discover their knowledge across CBVR domain and contribute their work to make the system more effective and useful in developing the system application. This paper highlights comprehensive and extensive review of CBVR techniques for detection of region of interest in a given video. The experiment is carried out for the detection of ROI using ACF detector. The detection rate of ROI is observed competitive and satisfactory.

Cite This Paper

Shivanand S Gornale, Ashvini K Babaleshwar, Pravin L Yannawar, " Analysis and Detection of Content based Video Retrieval", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.11, No.3, pp. 43-57, 2019. DOI: 10.5815/ijigsp.2019.03.06


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