NDLI: Neural-fuzzy approach for content-based retrieval of digital video

Content Provider	IEEE Xplore Digital Library
Author	Kulkarni, S.
Copyright Year	2004
Description	Author affiliation: Dept. of Comput. Sci. & Math., Nipissing Univ., North Bay, Ont., Canada (Kulkarni, S.)
Abstract	As digital video databases become more and more pervasive, finding video in large databases becomes a major problem. Because of the nature of video (streamed objects), accessing the content of such databases is inherently a time-consuming operation. The paper proposes a novel neural-fuzzy based approach for retrieving a specific video clip from a video database. Fuzzy logic is used for expressing queries in terms of natural language and a neural network is designed to learn the meaning of these queries. The queries are designed based on features such as colour and texture of shots, scenes and objects in video clips. An error backpropagation algorithm is proposed to learn the meaning of queries in fuzzy terms such as "very similar", "similar" and "some-what similar". Preliminary experiments were conducted on a small video database and different combinations of queries using colour and texture features along with a visual video clip; very promising results were achieved.
Sponsorship	Cisco Syst. General Elec. Ryerson Univ. AVFX Audio Visual Bell Canada Dofasco Dye & Durham Gennum Corp. IEEE Canada Found. Univ. of Toronto Niagara College of Appl. Arts and Technol
Starting Page	2235
Ending Page	2238
File Size	288067
Page Count	4
File Format	PDF
ISBN	0780382536
ISSN	08407789
DOI	10.1109/CCECE.2004.1347690
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-05-02
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Content based retrieval Spatial databases Streaming media Information retrieval Fuzzy logic Natural languages Neural networks Layout Backpropagation algorithms Visual databases
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Hardware and Architecture

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Image Retrieval Based on Fuzzy Color Semantics

A multimedia query user interface

Relevance feedback for content-based retrieval in video databases: a neural network approach

Hybrid video system supporting content-based retrieval

Automatic Extraction of Semantic Descriptions from the Lecturer's Speech

Fuzzy logic based texture queries for CBIR

Content-based video retrieval using audio and visual clues

A fuzzy feature clustering with relevance feedback approach to content-based image retrieval

A Video Retrieval Algorithm Based on Affective Features

Neural-fuzzy approach for content-based retrieval of digital video

Similar Documents

Image Retrieval Based on Fuzzy Color Semantics

A multimedia query user interface

Relevance feedback for content-based retrieval in video databases: a neural network approach

Hybrid video system supporting content-based retrieval

Automatic Extraction of Semantic Descriptions from the Lecturer's Speech

Fuzzy logic based texture queries for CBIR

Content-based video retrieval using audio and visual clues

A fuzzy feature clustering with relevance feedback approach to content-based image retrieval

A Video Retrieval Algorithm Based on Affective Features

Neural-fuzzy approach for content-based retrieval of digital video