Face-tracking and coding for video compression

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1542, Issue , 1999, Pages 151-161

  Vieux, William E ^a   Schwerdt, Karl ^b   Crowley, James L ^b  

^a University of Oklahoma   (United States)

^b GRAVIR INRIA   (France)

Author keywords

Computer vision; Face tracking; Principal com ponent analysis; Video coding

Indexed keywords

BANDWIDTH; CODES (SYMBOLS); ENCODING (SYMBOLS); IMAGE CODING; OBJECT RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; ROBOTICS; VIDEO RECORDING; VIDEO SIGNAL PROCESSING;

ENCODING AND DECODING; FACE TRACKING; FACE TRACKING SYSTEMS; HIGHER COMPRESSION RATIOS; MULTIMEDIA APPLICATIONS; SCENE INTERPRETATION; TRANSMISSION BANDWIDTH; VIDEO CODING ALGORITHM;

COMPUTER VISION;

EID: 84958638522     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-49256-9_10     Document Type: Conference Paper

References (12)

1. T. S. Huang and R. Lopez, “Computer vision in next generation image and video coding,” Lecture Notes in Computer Science, vol. 0, no. 1035, pp. 13-22, 1996.
2. “La visioconférence sur IP selon PictureTel et Intel,” 01 Reseaux, pp. 64-65, January 1998.
3. J. L. Crowley, “Integration and control of reactive visual processes,” Robotics and Autonomous Systems, vol. 16, no. 1, pp. 17-28, 1995.
4. J. L. Crowley, “Vision for man-machine interaction,” Robotics and Autonomous Systems, vol. 19, no. 3-4, pp. 347-358, 1997.
5. J. L. Crowley, “Multi-modal tracking of faces for video communications,” LEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 640-645, June 1997.
6. ITU-T Study Group XV, “Recommendation H.263: Video coding for low bit rate communication,” tech. rep., Telecommunication Standardization Sector of the International Telecommunication Union, Geneva, Switzerland, “http://www.itu.ch”, 1996.
7. “The GZIP home page,” http://www.gzip.org, May 1998.
8. ITU-T Study Group XV, “Recommendation H.261: Video codec for audiovisual services at px64 kbit/s,” tech. rep., Telecommunication Standardization Sector of the International Telecommunication Union, Geneva, Switzerland, “http://www.itu.ch”, 1993.
9. ISO/IEC 11172-2, “Information technology - coding of moving pictures and associated audio for digital storage media at up to about 1,5 mbit/s - part 2: Video,” tech. rep., International Organization of Standardization, Geneva, Switzerland, “http://www.iso.ch/cate/d22411.html”, 1993.
10. “Berkeley MPEG research,” http://bmrc.berkeley.edu/projects/mpeg, 1997.
11. M. J. Turk and A. Pentland, “Eigenfaces for recognition,” in IFIP Working Conference on Engineering for Human-Computer Interaction, vol. 3, pp. 71-86, 1991.
12. M. Kirby and L. Sirovich, “Application of the karhunen-loeve procedure for the characterization of human faces,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 12, pp. 103-108, 1990.