alexa Abstract | An optimized approach for multi-user facial expression-based video summarization

Biomedical Research
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article Open Access

Abstract

Video Summarization (VS), is one of the recent attractive research studies in huge amount of video contents news, sports videos, TV reality shows, Movie reviews etc., Based on user’s facial expression, VS is the challenging task in digital video technology. An automatic recognition of facial expressions is the necessary task in VS used in behavioural science and in clinical practice. The reliable recognition of facial expression by a machine is the critical compared to by a human. The non-uniqueness and the deformations in the human face require the toleration in human action recognition system. This paper proposes an effective toleration of facial variations themselves and addresses the problems in facial expression and video summarization and focuses the Multi-user Facial Expressions for Video Summarization (MFE-VS). The utilization of quantitative measures in proposed work estimates the user’s viewing interest based on the human emotional perspective. Initially, Gaussian filter eliminates the unnecessary things in an input image. Then, Viola-Jones face detector detects the face and eye regions. The utilization of Histogram of Gradients (HoG) and the Local Land scape Portrait (LLP) for extraction of shape and texture features. Once the labelling of features is over, the Probabilistic Neural Network (PNN) classifier predicts the exact expression of the user in the frames. Based on the obtained expression, the proposed work extracts the interesting frames and summarizes them that constitute final stage. The variations of facial expressions of viewers constitute attention states and the classification of positive and neutral states constitutes emotional states. The comparative analysis of proposed method with the traditional methods on the parameters of success rate, precision, recall, and interest scores assures the suitability of MFE-VS in facial expression based video summarization.

To read the full article Peer-reviewed Article PDF image | Peer-reviewed Full Article image

Author(s): Ashokkumar S Suresh A Priya S Dhanasekaran R

Keywords

Facial expression, Histogram of gradient (HoG), Probabilistic neural network (PNN), User interest, Video summarization, Viola-Jones method, #

 
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri, Food, Aqua and Veterinary Science Journals

Dr. Krish

agrifoodaquavet@omicsonline.com

1-702-714-7001 Extn: 9040

Clinical and Biochemistry Journals

Datta A

clinical_biochem@omicsonline.com

1-702-714-7001Extn: 9037

Business & Management Journals

Ronald

business@omicsonline.com

1-702-714-7001Extn: 9042

Chemical Engineering and Chemistry Journals

Gabriel Shaw

chemicaleng_chemistry@omicsonline.com

1-702-714-7001 Extn: 9040

Earth & Environmental Sciences

Katie Wilson

environmentalsci@omicsonline.com

1-702-714-7001Extn: 9042

Engineering Journals

James Franklin

engineering@omicsonline.com

1-702-714-7001Extn: 9042

General Science and Health care Journals

Andrea Jason

generalsci_healthcare@omicsonline.com

1-702-714-7001Extn: 9043

Genetics and Molecular Biology Journals

Anna Melissa

genetics_molbio@omicsonline.com

1-702-714-7001 Extn: 9006

Immunology & Microbiology Journals

David Gorantl

immuno_microbio@omicsonline.com

1-702-714-7001Extn: 9014

Informatics Journals

Stephanie Skinner

omics@omicsonline.com

1-702-714-7001Extn: 9039

Material Sciences Journals

Rachle Green

materialsci@omicsonline.com

1-702-714-7001Extn: 9039

Mathematics and Physics Journals

Jim Willison

mathematics_physics@omicsonline.com

1-702-714-7001 Extn: 9042

Medical Journals

Nimmi Anna

medical@omicsonline.com

1-702-714-7001 Extn: 9038

Neuroscience & Psychology Journals

Nathan T

neuro_psychology@omicsonline.com

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

John Behannon

pharma@omicsonline.com

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

social_politicalsci@omicsonline.com

1-702-714-7001 Extn: 9042

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version