Paper Info
Title
Face Retrieval In Video Sequences Using Web Images Database
Abstract
Face processing techniques for automatic recognition in broadcast video attract the research interest because of its value in applications, such as video indexing, retrieval, and summarization In multimedia press review, the automatic annotation of broadcasting news programs is a challenging task because people can appear with large appearance variations such as hair styles, illumination conditions and poses that make the comparison between similar faces more difficult. In this paper a technique for automatic face identification in TV broadcasting programs based on a gallery of faces downloaded from Web is proposed. The approach is based on a joint use of Scale Invariant Feature Transform descriptor and Eigenfaces-based algorithms and it has been tested on video sequences using a database of images acquired starting from a web search. Experimental results show that the joint use of these two approaches improves the recognition rate in case of use Standard Definition (SD) and High Definition (HD) standards.
Year
DOI
Venue
2015
10.1117/12.2083316
IMAGE PROCESSING: ALGORITHMS AND SYSTEMS XIII
Keywords
Field
DocType
Face recognition, SIFT, Eigenfaces, video annotation, Standard Definition, High Definition
Scale-invariant feature transform,Automatic summarization,Facial recognition system,Broadcasting,Computer vision,Annotation,Eigenface,Computer science,Search engine indexing,Standard definition,Artificial intelligence,Database
Conference
Volume
ISSN
Citations 
9399
0277-786X
0
PageRank 
References 
Authors
0.34
11
4
Name
Order
Citations
PageRank
marco leo100.34
francesca de battisti2112.50
Marco Carli325228.85
A Neri467972.31