An Effectual Video Indexing and Retrieval Model: A Comparative Study

10 Pages Posted: 25 Nov 2020

See all articles by Gayathri N

Gayathri N

Alagappa University

Dr. Mahesh K

Alagappa University

Date Written: November 21, 2020

Abstract

Video indexing and retrieval are considered to be the most crucial factor that has to be concentrated in multimedia search engine based investigations. The analysis with multimedia content may enhance the accuracy of the indexing and retrieval system, which is performed with two different phases. Former is content-based, and the latter is context-based annotation. The previous annotation includes both higher level and lower level features, which is acquired from pixel intensity; similarly, the latter is based on semantic video details. Here, an extensive analysis is done with three different methods known as Fuzzy based SVM classifier, logit boost ensemble classifier, and Naïve Bayes classifier, where feature extraction is concentrated on various factors. These diverse methods pretend to carry of retrieval of the video effectually with specific advantages and disadvantages. Here, numerical analysis is done with different factors like accuracy, sensitivity, specificity, F-measure, Recall, and so on. The total amount of frames considered for computation is also determined. The videos are attained from the available online dataset, and initial pre-processing is carried out to make the quality of image frames to be superior. The overall analysis shows the performance of classifiers with improved prediction accuracy for video retrieval.

Keywords: Video indexing, retrieval, multimedia, classifiers, feature extraction and pre-processing

Suggested Citation

N, Gayathri and K, Dr. Mahesh, An Effectual Video Indexing and Retrieval Model: A Comparative Study (November 21, 2020). Proceedings of the 2nd International Conference on IoT, Social, Mobile, Analytics & Cloud in Computational Vision & Bio-Engineering (ISMAC-CVB 2020), Available at SSRN: https://ssrn.com/abstract=3734782 or http://dx.doi.org/10.2139/ssrn.3734782

Gayathri N (Contact Author)

Alagappa University ( email )

Karaikudi, Tamil Nadu
India

Dr. Mahesh K

Alagappa University ( email )

Karaikudi, Tamil Nadu
India

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
11
Abstract Views
86
PlumX Metrics