Estimation of the optimal frame rate for video communications under bit-rate constraints

Electronics and Communications in Japan, Part I: Communications (English translation of Denshi Tsushin Gakkai Ronbunshi)

Volumn 86, Issue 12, 2003, Pages 54-67

  Inazumi, Yasuhiro ^a   Yoshida, Toshiyuki ^a   Sakai, Yoshinori ^a   Horita, Yuukou ^b  

^a TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

^b UNIVERSITY OF TOYAMA   (Japan)

Author keywords

Multiple regression analysis; Optimal frame rate; Rate control; Subjective assessment; Transcoder; Video communications

Indexed keywords

APPROXIMATION THEORY; BANDWIDTH; IMAGE QUALITY; QUALITY OF SERVICE; REGRESSION ANALYSIS;

VIDEO COMMUNICATIONS;

IMAGE COMMUNICATION SYSTEMS;

EID: 0037664343     PISSN: 87566621     EISSN: None     Source Type: Journal    
DOI: 10.1002/ecja.10102     Document Type: Article

References (23)

1. Takishima Y, Wada M, Murakami H. A study of the optimal frame rate in coding low bit-rate video images. Tech Rep IEICE 1991;OS91-23:45-52.
2. Morrison G. Video transcoders with low delay. IEICE Trans Commun 1997;E80-B:963-969.
3. Kasai H, Tominaga H, Hanamura T, Kameyama W. A method of control of coding complexity in a low-delay MPEG-2 video transcoder. Trans IEICE 2000;J83-B:151-164.
4. Wang L. Rate control for MPEG video coding. Signal Process Image Commun 2000; 15:493-511.
5. Shimizu A, Sagata A, Watanabe H, Kobayashi N. Bit-rate scaling by adjusting the reference frame rate. Trans IEICE 2000:J83-D-II:967-976.
6. Song H, Kim J, Kuo C-CJ. Real-time encoding frame rate control for H.263+ video over the Internet. Signal Process Image Commun 1999;15:127-148.
7. Fukuda K, Wakamiya N, Murata M, Miyahara H. Relation between quality and bandwidth of MPEG-2 video image suited to a band-reservation network. Trans IEICE 1999;J82-B:358-367.
8. Lin F-H, Mersereau RM. Rate-quality trade-off MPEG video encoder. Signal Process Image Commun 1999; 14:297-309.
9. Miyahara M, Kotani K, Algazi VR. Objective Picture Quality Scale (PQS) for image coding. IEEE Trans Commun 1998;46:1215-1226.
10. Winkler S. Issues in vision modeling for perceptual video quality assessment. Signal Process Image Commun 1999;78:231-252.
11. Hamada H, Namba S. A study on objective picture quality scales for pictures digitally encoded for broadcast. IEICE Trans Commun 1994;E77-B:1480-1488.
12. Horita Y, Miyahara M, Murai T. An objective picture quality assessment scale (PQSvideo) for black-and-white video. Trans IEICE 1997;J80-B-I:496-504.
13. Horita Y,Inazumi T, Murai T. Picture quality assessment method for black-and-white video based on frame-wise quality. Trans IEICE 1998;J81-B-I:652-660.
14. Tan KT, Ghanbari M, Pearson DE. An objective measurement tool for MPEG video quality. Signal Process Image Commun 1998;70:279-294.
15. Miyaji S, Hamada T, Matsumoto S. Development of an image quality assessment system suited to human vision characteristics. Trans IEICE 1998;J81-D-II:1084-1094.
16. Horita Y, Yoshioka T, Murai T. An image-oriented JPEG coding method for black-and-white still images. Trans IEICE 2000;J83-B:121-127.
17. Haraclick RM, Shanmugam K, Dinstein I. Textural features for image classification. IEEE Trans SMC 1973;3:610-621.
18. Kosuge M, Yamazaki T, Ogino N, Matsuda J. An adaptive multi-agent QoS control method. Trans IEICE 1999;J82-B:702-710.
19. Yoshida J, Sasa K. A study of the minimum necessary number of frames for transmission of dynamic TV picture information. NHK Tech Res Rep 1959;11:240-244.
20. Miyahara M. Video quality in TV. Improvement by blur reduction and increase of the number of fields per second. Trans IEICE 1977;60-B:297-304.
21. Takeda N, Kawanishi H, Matsuoka T. The decimation method in inter-frame coding. Trans IEICE 1982;J65-B:455-462.
22. Hayashi T, Iai T. Effect of frame-rate modification on image quality. Trans IEICE 1996;J79-A:991-1000.
23. http://www.crc.ca/vqeg/.