An Accurate Low-Complexity Rate Control Algorithm Based on (\rho, E)-Domain

• Published in: IEEE transactions on circuits and systems for video technology Vol. 18; no. 2; pp. 257 - 262
• Main Authors: Milani, S., Celetto, L., Mian, G.A.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.02.2008; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Applied sciences; Automatic voltage control; Bandwidth; Bit allocation; Bit rate; Broadcasting. Videocommunications. Audiovisual; Channels; Coding; coefficient statistics; Communication system control; Control theory; Devices; Electronics; Equipments and installations; Exact sciences and technology; H.264/AVC; HDTV; High definition video; Image processing; Image reconstruction; Imaging devices; Information, signal and communications theory; Mathematical models; Mobile communication; Mobile radiocommunication systems; Radiocommunications; rate control; rate-distortion (R-D) parameterization; Reconstruction; Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices; Signal processing; Telecommunications; Telecommunications and information theory; Telephony; video coding; Videocommunications (networks and services); Videoconference; zeros; coefficient statistics; rate control; R-D parameterization; video coding; H.264/AVC; zeros; bit allocation; Video coding; Performance evaluation; rate-distortion (R-D) parameterization; Scalability; High definition television; Wireless telecommunication; Information rate; Videoconference; Implementation; Research and development; Video signal processing; Storage capacity; Signal quantization; Traffic control; Telephony; Cost lowering; Mobile radiocommunication; Time variable channel; Flow rate regulation; Rate distortion theory; Teletraffic; Quantum effect; Algorithm; Computational complexity; Information transmission; Bit allocation; Traffic management; Quantized signal
• ISSN: 1051-8215; 1558-2205
• DOI: 10.1109/TCSVT.2007.913965

The standard H.264/AVC defines an efficient coding architecture both for coding applications where bandwidth or storage capacity is limited (e.g., video telephony or video conferencing over mobile channels and devices) and for applications that require high reconstruction quality and bit rate (e.g., HDTV). Since its main applications concern video communication over time-varying bandwidth channels, the bit rate has to be controlled with scalable algorithms that can be implemented on low resource devices. The paper describes a rate control algorithm that needs reduced memory area and complexity compared to other ones. The number of coded bits for each frame is accurately predicted through the percentage of null quantized transform coefficients, which is related to the quantization step via the energy of the quantized signal. It is possible to design a rate control algorithm based on this model that provides a good compression performance at a low computational cost.