Title :
Classification of image databases using face detection
Author :
Sergyán, Szabolcs
Author_Institution :
John von Neumann Fac. of Inf., Budapest Tech., Budapest
Abstract :
During image retrieval in image databases the indexing technique can be used on many ways. The two most frequently used methods are the text-based and the content-based indexing. In case of content-based image retrieval the image classification is significant, and after the classification process the image retrieval can be much efficient than without classification. A possible way of image classification is the decision of that, the image contains human faces or not. In this paper a survey of the recently used face detection algorithms, and a comparative analysis of that is shown. The effectiveness of face detection algorithms in image classification also is shown.
Keywords :
face recognition; image classification; text analysis; visual databases; content-based indexing; face detection; image database classification; image retrieval; indexing technique; text-based methods; Algorithm design and analysis; Classification algorithms; Content based retrieval; Face detection; Humans; Image classification; Image databases; Image retrieval; Indexing; Information retrieval;
Conference_Titel :
Intelligent Systems and Informatics, 2008. SISY 2008. 6th International Symposium on
Conference_Location :
Subotica
Print_ISBN :
978-1-4244-2406-1
Electronic_ISBN :
978-1-4244-2407-8
DOI :
10.1109/SISY.2008.4664960