Performance comparison of JPEG2000 and H.264/AVC high profile intra-frame coding on HD video sequences
Pankaj Topiwala, Trac Duy Tran, Wei Dai
Abstract
Pankaj Topiwala, Trac Duy Tran, Wei Dai
Abstract
This paper reconsiders the rate-distortion performance comparison of JPEG2000 with H.264/AVC High Profile I-frame coding for high definition (HD) video sequences. This work is a follow-on to our paper at SPIE 05 [14], wherein we further optimize both codecs. This also extends a similar earlier study involving H.264/AVC Main Profile [2]. Coding simulations are performed on a set of 720p and 1080p HD video sequences, which have been commonly used for H.264/AVC standardization work. As expected, our experimental results show that H.264/AVC I-frame coding offers consistent R-D performance gains (around 0.2 to 1 dB in peak signal-to-noise ratio) over JPEG2000 color image coding. As in [1, 2], we do not consider scalability, complexity in this study (JPEG2000 is used in non-scalable, but optimal mode).
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This paper reconsiders the rate-distortion performance comparison of JPEG2000 with H.264/AVC High Profile I-frame coding for high definition (HD) video sequences. This work is a follow-on to our paper at SPIE 05 [14], wherein we further optimize both codecs. This also extends a similar earlier study involving H.264/AVC Main Profile [2]. Coding simulations are performed on a set of 720p and 1080p HD video sequences, which have been commonly used for H.264/AVC standardization work. As expected, our experimental results show that H.264/AVC I-frame coding offers consistent R-D performance gains (around 0.2 to 1 dB in peak signal-to-noise ratio) over JPEG2000 color image coding. As in [1, 2], we do not consider scalability, complexity in this study (JPEG2000 is used in non-scalable, but optimal mode).
Key concepts: Scalable Video Coding, Context-adaptive binary arithmetic coding, Computer science, Context-adaptive variable-length coding, JPEG 2000, Coding (social sciences), Codec, Coding tree unit