An Efficient Video Frames Retrieval System Using SURF Based Bag of Visual Words-Reference-Cited by-同舟云学术

An Efficient Video Frames Retrieval System Using SURF Based Bag of Visual Words

Published:2022-11-16 Issue: Volume: Page:
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Author:

Hussain Altaf¹

Affiliation:

1. Institute of Computer Science and IT, The University of Agriculture Peshawar, Pakistan;

Abstract

Abstract Most of the work done in the CBIR system is done using images databases of different classes. There is a Lack of an automatic video frame retrieval system based on the query image. Low-level features i.e. shape and colors of most of the objects are almost the same e.g. sun and orange both are round and red in color. Features used in most of the CBIR Paper work are non-invariant features which may affect the overall accuracy of the CBIR system. The use of simple and weak classifier or matching technique may also affect the accuracy of the CBIR system on high scale. Un-availability of datasets for content-based video frames retrieval system is also a Paper issue. In this Paper these issues will be entertained.

Publisher

Research Square Platform LLC

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