Title :
Content based indexing of images and video using face detection and recognition methods
Author :
Eickeler, Stefan ; Wallhoff, Frank ; Lurgel, U. ; Rigoll, Gerhard
Author_Institution :
Fac. of Electr. Eng., Gerhard Mercator Univ., Duisburg, Germany
Abstract :
This paper presents an image and video indexing approach that combines face detection and face recognition methods. Images of a database or frames of a video sequence are scanned for faces by a neural network-based face detector. The extracted faces are then grouped into clusters by a combination of a face recognition method using pseudo two-dimensional hidden Markov models and a k-means clustering algorithm. Each resulting main cluster consists of the face images of one person. In a subsequent step, the detected faces are labeled as one of the different people in the video sequence or the image database and the occurrence of the people can be evaluated. The results of the proposed approach on a TV broadcast news sequence are presented. It is demonstrated that the system is able to discriminate between three different newscasters and an interviewed person
Keywords :
content-based retrieval; face recognition; hidden Markov models; image classification; image retrieval; image sequences; neural nets; video signal processing; visual databases; content based indexing; face detection; face recognition; image indexing; k-means clustering algorithm; neural network; pseudo 2D hidden Markov models; video indexing; Clustering algorithms; Detectors; Face detection; Face recognition; Hidden Markov models; Image databases; Indexing; Neural networks; TV broadcasting; Video sequences;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.941217