WebSite Logo
  • Content
  • Similar Resources
  • Metadata
  • Cite This
  • Log-in
  • Fullscreen
Log-in
Do not have an account? Register Now
Forgot your password? Account recovery
  1. International Journal of Multimedia Information Retrieval
  2. International Journal of Multimedia Information Retrieval : Volume 5
  3. International Journal of Multimedia Information Retrieval : Volume 5, Issue 4, November 2016
  4. Robust facial expression recognition system based on hidden Markov models
Loading...

Please wait, while we are loading the content...

International Journal of Multimedia Information Retrieval : Volume 6
International Journal of Multimedia Information Retrieval : Volume 5
International Journal of Multimedia Information Retrieval : Volume 5, Issue 4, November 2016
Major events in multimedia information retrieval
Blind late fusion in multimedia event retrieval
A novel approach for shape-based object recognition with curvelet transform
Robust facial expression recognition system based on hidden Markov models
Improving content-based image retrieval with compact global and local multi-features
IR_URFS_VF: image recommendation with user relevance feedback session and visual features in vertical image search
International Journal of Multimedia Information Retrieval : Volume 5, Issue 3, September 2016
International Journal of Multimedia Information Retrieval : Volume 5, Issue 2, June 2016
International Journal of Multimedia Information Retrieval : Volume 5, Issue 1, March 2016
International Journal of Multimedia Information Retrieval : Volume 4
International Journal of Multimedia Information Retrieval : Volume 3
International Journal of Multimedia Information Retrieval : Volume 2
International Journal of Multimedia Information Retrieval : Volume 1

Similar Documents

...
Major events in multimedia information retrieval

Article

...
Blind late fusion in multimedia event retrieval

Article

...
Facial expression recognition using Gabor motion energy filters

Article

...
Learning hierarchical video representation for action recognition

Article

...
A survey of tag-based information retrieval

Article

...
Instance search retrospective with focus on TRECVID

Article

...
Boosting local texture descriptors with Log-Gabor filters response for improved image retrieval

Article

...
Multimedia Data Mining and Knowledge Discovery

Book

...
Top multimedia information retrieval papers

Article

Robust facial expression recognition system based on hidden Markov models

Content Provider Springer Nature Link
Author Meslouhi, Othmane El Allali, Hakim Kardouchi, Mustapha Elgarrai, Zineb
Copyright Year 2016
Abstract Facial expressions are considered important communicative tools. In this paper, we present a new system able to recognize facial expressions. This system utilizes one-dimensional Hidden Markov Models (1D-HMMs) with small number of states involving fast computational time during the learning and recognition steps. First, face features are obtained using Gabor wavelets. Then, the Fisher’s Discriminant Analysis method is employed to reduce the features dimensions to eliminate redundancy and overlap in the information. The proposed system differs from previous methods using 1D-HMMs, by the fact that it employs 1D-HMMs with only three states without any prior segmentation step of interest regions in the face (hair, forehead, eyes, etc). The proposed system is evaluated using the JAFFE and KDEF facial expressions data sets.
Starting Page 229
Ending Page 236
Page Count 8
File Format PDF
ISSN 21926611
Journal International Journal of Multimedia Information Retrieval
Volume Number 5
Issue Number 4
e-ISSN 2192662X
Language English
Publisher Springer London
Publisher Date 2016-10-19
Publisher Place London
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Information Systems Applications (incl.Internet) Facial expression recognition Fisher’s analysis method Hidden Markov models Information Storage and Retrieval Data Mining and Knowledge Discovery Image Processing and Computer Vision Computer Science Multimedia Information Systems Gabor filters
Content Type Text
Resource Type Article
Subject Library and Information Sciences Information Systems Media Technology
  • About
  • Disclaimer
  • Feedback
  • Sponsor
  • Contact
  • Chat with Us
About National Digital Library of India (NDLI)
NDLI logo

National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.

Learn more about this project from here.

Disclaimer

NDLI is a conglomeration of freely available or institutionally contributed or donated or publisher managed contents. Almost all these contents are hosted and accessed from respective sources. The responsibility for authenticity, relevance, completeness, accuracy, reliability and suitability of these contents rests with the respective organization and NDLI has no responsibility or liability for these. Every effort is made to keep the NDLI portal up and running smoothly unless there are some unavoidable technical issues.

Feedback

Sponsor

Ministry of Education, through its National Mission on Education through Information and Communication Technology (NMEICT), has sponsored and funded the National Digital Library of India (NDLI) project.

Contact National Digital Library of India
Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302
See location in the Map
03222 282435
Mail: support@ndl.gov.in
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
I will try my best to help you...
Cite this Content
Loading...