Context-adaptive hybrid variable length coding in H.264/AVC

It is well observed that the nonzero transform coefficients for block-based hybrid video coding is more clustered in the low frequency region while more scattered in the high frequency region. Based on this observation, hybrid variable length coding (HVLC) was recently proposed, which divides each t...

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Vydáno v:2009 16th IEEE International Conference on Image Processing (ICIP) s. 3437 - 3440
Hlavní autoři: Junlin Li, AlRegib, G., Dihong Tian, Chen, W.H., Pi Sheng Chang
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.11.2009
Témata:
Automatic voltage control
Bit rate
context-adaptive
Entropy coding
Frequency conversion
H.264
Hafnium
Quadratic programming
Quantization
Scattering
Switches
Video coding
VLC
ISBN:9781424456536, 1424456533
ISSN:1522-4880
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Shrnutí:It is well observed that the nonzero transform coefficients for block-based hybrid video coding is more clustered in the low frequency region while more scattered in the high frequency region. Based on this observation, hybrid variable length coding (HVLC) was recently proposed, which divides each transform block into low frequency (LF) region and high frequency (HF) region by a pre-defined breakpoint and encodes the clustered low frequency coefficients with new coding schemes, such as two dimensional position and one-dimensional amplitude coding (2DP1DA) or three-dimensional position and amplitude coding (3DPA). However, the transition between clustered and scattered nonzero coefficients varies with different blocks and sequences. In this paper, we propose a context-adaptive hybrid variable length coding (CAHVLC) scheme, where multiple code tables are used and the code table is adaptively chosen based on the derivable context information from coded neighboring blocks or from the coded portion of the currently being coded block. The experimental results show that CAHVLC achieves about 6.5% ~ 8% bit rate reduction for a wide range of quantization parameters (QP) compared with CAVLC in H.264.
ISBN:9781424456536
1424456533
ISSN:1522-4880
DOI:10.1109/ICIP.2009.5413855