Image analysis – Image transformation or preprocessing – Multilayered image transformations
Reexamination Certificate
2008-02-14
2011-12-27
Patel, Kanjibhai (Department: 2624)
Image analysis
Image transformation or preprocessing
Multilayered image transformations
C375S240240, C382S232000
Reexamination Certificate
active
08086076
ABSTRACT:
An apparatus, a method, and a computer-readable medium having instructions encoded thereon that when executed cause a method to be carried out. The method includes dividing at least a portion of a picture of a video stream into parts of blocks, and processing the parts in parallel by a plurality of interconnected processors. The processing of a respective part by its respective processor includes determining block-level temporal difference features. Each processor also performs coding functions on its respective part of the picture. The method also includes block-level processing using the block-level temporal difference features to determine which blocks in the picture are likely to be that of a face, the block-level processing being at the granularity of at least a block. In one version, the processing in each processor includes edge detection and color segmentation to determine block-level edge features including block-level color-segmented edge features that are then used in the block level processing.
REFERENCES:
patent: 5715377 (1998-02-01), Fukushima et al.
patent: 5940530 (1999-08-01), Fukushima et al.
patent: 6148092 (2000-11-01), Qian
patent: 6173069 (2001-01-01), Daly et al.
patent: 6356589 (2002-03-01), Gebler et al.
patent: 6430222 (2002-08-01), Okada
patent: 6798834 (2004-09-01), Murakami et al.
patent: 7269292 (2007-09-01), Steinberg
Farrukh, A.; Ahmad, A.; Khan, M.I.; Khan, N., Automated segmentation of skin-tone regions in video sequences, Proceedings IEEE Students Conference, ISCON—apos—02., vol. 1, Issue , Aug. 16-17, 2002 pp. 122-128.
Y. Avrithis, N. Tsapatsoulis and S. Kollias, “Color-Based Retrieval of Facial Images,” European Signal Processing Conference (EUSIPCO'00), Tampere, Finland, Sep. 2000.
N. Tsapatsoulis, Y. Avrithis and S. Kollias, “Face Detection for Multimedia Applications” Proceedings of the ICIP'00, Vancouver, BC, Canada, Sep. 2000.
Hualu Wang and Shih-Fu Chang: “A highly efficient system for automatic face region detection inMPEG video,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 7, Issue: 4, Aug. 1997, pp. 615-628.
Tsapatsoulis, N. Kollias, S.: “Face detection in color images and video sequences,” 10th Mediterranean Electrotechnical Conference, 2000, Melecon 2000. vol. 2, pp. 498-502, 2000.
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, Jan. 2002, pp. 34-58.
Jie Yang; Waibel, A.: “A real-time face tracker,” Proceedings 3rd IEEE Workshop on Applications of Computer Vision, 1996. WACV 96, Dec. 2-4, 1996 pp. 142-147.
Chen Wen-hsiung
Friel Joseph T.
Mauchly J. William
Tian Dihong
Cisco Technology Inc.
INVENTEK
Patel Kanjibhai
Rosenfeld Dov
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