Huge amount of video data is being generated every day, with enormous growth of security and surveillance system. It is immensely challengeable for researcher to search and retrieve accurate human face of interest from video with utmost speed. The proposed work is stimulated from the same concern. It would be the future demand for searching, browsing, and retrieving human face of interest from video database for several applications. This paper proposes the novel algorithm for human face retrieval from video database based on holistic approach. The Viola and Jones frontal face detector detect the face region. The next stage is face extraction which have input for grouping individual faces. The individual group of faces has converted into single normalized mean face using PCA. The final face group contains single face for each person occurred in video. After the pre-processing of normalized faces, recognition is performed on the basis of query face image.

1. Rama Chellappa, Pawan Sinha, and P. Jonathon Phillips, Face recognition by computers and humans, International Journals of IEEE Computer Society, 2010
2. Ming-Hsuan Yang, David J. Kriegman and Narendra Ahuja, Detecting Faces in Images: A Survey, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 24, NO. 1, pp-36-58, JANUARY 2002
3. Nida Aslam et al, Limitation and challenges: image/video search & retrieval, International workshop on Multimedia information retrieval , Netherlands , 2009
4. Josef Sivic and Andrew Zisserman, Video google: A Text Approach to object Matching in videos, Proceedings of the British Machine Vision Conference, 2006
5. Unsang Park and Anil K. Jain , Face matching and retrieval using soft biometrics, International journal IEEE Transaction on Information forensics and security(TIFS) , 2010
6. Josef Sivic et al. , Finding people in repeated shots of the same scene, proceeding of the British Machine Vision Conference, 2006
7. Nicholas Apostoloff et al. , Who are you? – Real time person identification, Proceedings of the British Machine Vision Conference, 2007
8. Mark Everingham et al. , Hello! My name is… Buffy" –Automatic Naming of character in TV video, Proceedings of the British Machine Vision Conference, 2006
9. Yi-Fan Zhang, Changsheng Xu et al, Character Identification in feature length films using global face –name matching, IEEE transaction on multimedia, Vol. 11 No. 7, Nov 2009
10. Lutz Goldmann , Amjad Samour and Thomas Sikora, Towards Person Google: Multimodal Person Search and Retrieval , Technical report, 2008
11. Yina Han et al, Speaker retrieval for TV show video by associating audio speaker recognition result to visual faces, Proceedings of 2nd International conference the K-Space, 2008
12. Zafar G. Sheikh, Dr. V. M. Thakare and Dr. S. S. Sherekar, Towards Retrieval of Human Face from Video Database: A novel framework, International Journal of Information Systems and Communication, ISSN: 0976-8742 , E-ISSN: 0976-8750, Vol. 3, Issue 1, 2012
13. Ognjen Arandjelovie et al, Automatic face recognition for film character retrieval in feature-length films, In proceeding of IEEE Conference on Computer Vision and Pattern Recognition, San Diego , 2005
14. Shuji Zhao et al, Actor retrieval system based on kernels on bags of bags, 16th European signal processing conference, (EURASIP), Switzerland , Aug 25-29, 2008
15. Navarrete, P. and Ruiz-Del-Solar, Interactive face retrieval using self-organizing maps , Proceedings of the 2002 International Joint Conference on Neural Networks , IJCNN '02 , 687 - 691, 2002
16. Daidi Zhong and Irek Defee , Face retrieval based on robust local features and statistical structure learning approach , EURASIP Journal on Advances in Signal Processing , Volume 2008, Article ID 631297, 12 pages
17. Aamer S. S. Mohamed et al, An efficient face image retrieval through DCT features, In proc. of international conference, 2006
18. Chon Fong Wong et al, Face image retrieval in video sequence using lifting wavelets transform feature extraction, Proceedings of the Ninth IEEE International Symposium, 2005
19. Josef Sivic et al, Person spotting: video shot retrieval for face sets, International Journal of computer vision 2006 Springer Science + Business Media, 2006
20. Mark Everingham et al. , Identifying individuals in video by combining generative and discriminative head models, Proceedings of the International Conference on Computer Vision, 2005
21. Mark Everingham et al. , Automated visual identification of character in situation comedies, Proceedings of the British Machine Vision Conference, 2004
22. Mark Everingham and Andrew Zisserman, Automated person identification in video, Proceedings of the International Conference on Image and Video Retrieval, 2004
23. P. Viola and M. Jones, Robust Real-Time Face Detection, International Journal of Computer Vision 57(2), pp-137–154, 2004
24. P. Viola and M. Jones, Rapid object detection using boosted cascade of simple features, In Proc. of CVPR, pp-1-13, 2001
25. Ran He, Wei-Shi Zhengand Bao-Gang Hu, Maximum Correntropy Criterion for Robust Face Recognition, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 33, NO. 8,PP. 1561-1576, AUGUST 2011
26. Stefano Berretti, Alberto Del Bimbo, and Pietro Pala, 3D Face Recognition Using Isogeodesic Stripes, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 32, NO. 12, PP. 2162-2177, DECEMBER 2010

Face Detection Face Recognition Tracking