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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 187 - Issue 62 |
| Published: December 2025 |
| Authors: Basavaraj A. Goudannavar, Jyoti G. Biradar, Anil Trimbakro Gaikwad |
10.5120/ijca2025926008
|
Basavaraj A. Goudannavar, Jyoti G. Biradar, Anil Trimbakro Gaikwad . CLASSIFICATION AND ANALYSIS OF WEB-BASED MULTIMEDIA DATA USING METADATA. International Journal of Computer Applications. 187, 62 (December 2025), 18-23. DOI=10.5120/ijca2025926008
@article{ 10.5120/ijca2025926008,
author = { Basavaraj A. Goudannavar,Jyoti G. Biradar,Anil Trimbakro Gaikwad },
title = { CLASSIFICATION AND ANALYSIS OF WEB-BASED MULTIMEDIA DATA USING METADATA },
journal = { International Journal of Computer Applications },
year = { 2025 },
volume = { 187 },
number = { 62 },
pages = { 18-23 },
doi = { 10.5120/ijca2025926008 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2025
%A Basavaraj A. Goudannavar
%A Jyoti G. Biradar
%A Anil Trimbakro Gaikwad
%T CLASSIFICATION AND ANALYSIS OF WEB-BASED MULTIMEDIA DATA USING METADATA%T
%J International Journal of Computer Applications
%V 187
%N 62
%P 18-23
%R 10.5120/ijca2025926008
%I Foundation of Computer Science (FCS), NY, USA
The classification of multimedia data into conceptual categories, such "Entertainment," "News and Politics," "Sports," etc., typically calls for the combination of evidence from various multimedia components, including text, audio, video, and images. In this work, data mining classification techniques based on the metadata of the considered web multimedia data are used to identify and categorize domain-specific web multimedia data into various groups. Data mining classification algorithms, such as Decision Tree (DT) and Support Vector Machine (SVM) model, automatically classify web multimedia data into various categories based on extracted metadata. To extract knowledge from web multimedia data, the classification results are contrasted and examined.