Amanote Research

Amanote Research

    RegisterSign In

A Framework of Indexation and Document Video Retrieval Based of the Conceptual Graphs

Journal of Computing and Information Technology - Croatia
doi 10.2498/cit.1001478
Full Text
Open PDF
Abstract

Available in full text

Categories
Computer Science
Date

January 1, 2010

Authors
Mounir ZriguiMubarak CharhadAnis Zouaghi
Publisher

Faculty of Electrical Engineering and Computing, Univ. of Zagreb


Related search

Semantic Video Content Indexing and Retrieval Using Conceptual Graphs

English

A Multimodal and Multilevel Ranking Framework for Content-Based Video Retrieval

2007English

A Basic Mathematical Framework for Conceptual Graphs

IEEE Transactions on Knowledge and Data Engineering
Computational TheoryComputer Science ApplicationsInformation SystemsMathematics
2006English

Text Document Annotation and Retrieval Based on Content of the Document and Query Workload

International Journal of Science and Research (IJSR)
2016English

A News Video Retrieval Framework for the Study of Implicit Relevance Feedback

2007English

Analysis and Detection of Content Based Video Retrieval

International Journal of Image, Graphics and Signal Processing
2019English

Objective-Based Exegesis of the Quran: A Conceptual Framework

International Journal of Quranic Research
2015English

Segmentation-Based Retrieval of Document Images From Diverse Collections

2008English

The Internationalisation of Higher Education: A Networking Based Conceptual Framework

AEI Insights: An International journal of Asia-Europe relations
2020English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy