In this paper, adaptive Lagrangian multiplier λ estimation in Larangian R-D optimization for video coding is presented that is based on the ρ-domain linear rate model and distortion model. It yields that λ is a function of rate, distortion and coding input statistics and can be written as λ(R, D, σ2) = β(ln(σ2/D) + δ)D/R + k0, with β, δ and k0 as coding constants, σ2 is variance of prediction error input. λ(R, D, σ2) describes its ubiquitous relationship with coding statistics and coding input in hybrid video coding such as H.263, MPEG-2/4 and H.264/AVC. The lambda evaluation is de-coupled with quantization parameters. The proposed lambda estimation enables a fine encoder design and encoder control.
KEYWORDS: Digital signal processing, Computer programming, Video, Quantization, Motion estimation, Video coding, Video surveillance, Video compression, Profiling, Signal processing
In this paper, we present the work on implementation of a half-D1interlaced MPEG-4 encoder with Equator Technology DSP chip, BSP-15. The BSP-15 DSP consists mainly of a VLIW core, Co-processors, and media I/O interfaces. The encoder utilizes several BSP-15 functional blocks in parallel. In general, the VLIW performs pixel procesing that is computationally intensive. The VLx coprocessor completes variable length coding. Further parallelism is obtained by pre-loading data cache and doubling data buffers. Given the DSP processing power and real time requirements, a complexity control scheme is implemented. A frame-level quantization scheme with quality and rate control is employed. The current implementation for video at 30 fps consumes about 90% of the chip performance at a bit rate ~2Mbps.
Conference Committee Involvement (3)
Multimedia Systems and Applications IX
2 October 2006 | Boston, Massachusetts, United States
Multimedia Systems and Applications VIII
24 October 2005 | Boston, MA, United States
Multimedia Systems and Applications VII
25 October 2004 | Philadelphia, Pennsylvania, United States
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