A fast rate-distortion optimization algorithm for H.264/AVC codec

Hsia, Shih-Chang; Hsu, Wen-Jing; Wu, Shih-Ren

doi:10.1007/s11760-011-0282-0

Cited by 5 publications

(2 citation statements)

References 12 publications

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“…Another way is to control CR or bit rate by some mo del parameter dependence of CR on quantization step or other model parameter [6,5]. In this article, we focus on predicting CR and providing a desired CR for com pressing noisy optical remote sensing images under as sumption that lossy DCT based coder AGU [12] is used.…”

Section: Introductionmentioning

confidence: 99%

An approach to prediction and providing of compression ratio for DCT based coder applied to remote sensing images

Kozhemiakin,

Zemliachenko,

Lukin

et al. 2016

UJRS

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A novel compression ratio prediction and providing technique applicable to noisy and almost noise-free remote sensing images is proposed. It allows predicting and then providing a desired compression ratio for DCT-based coder in automatically manner. The proposed technique is algorithmically simple and has low computational complexity that allows using it onboard spaceborne or airborne carriers. The study is carried out for test and real-life Hyperion images. It is shown that the proposed technique has high accuracy and it is robust with respect to noise intensity and type. Relative error of prediction of providing compression ratio does not exceed 10%.

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Section: Introductionmentioning

confidence: 99%

An approach to prediction and providing of compression ratio for DCT based coder applied to remote sensing images

Kozhemiakin,

Zemliachenko,

Lukin

et al. 2016

UJRS

View full text Add to dashboard Cite

show abstract

“…These frameworks allocate codec functionalities such that most of the high complexity operations that involve exploiting spatial and temporal correlation, e.g. motion estimation and compensation, are executed at the encoder, while the decoder performs lower complexity operations such as entropy decoding, frame prediction, inverse quantization, and DCT on the bitstream received from encoder (Hsia et al 2013 ; Kim et al 2014 ).…”

Section: Introductionmentioning

confidence: 99%

Distributed video coding for wireless video sensor networks: a review of the state-of-the-art architectures

2015

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Distributed video coding (DVC) is a relatively new video coding architecture originated from two fundamental theorems namely, Slepian–Wolf and Wyner–Ziv. Recent research developments have made DVC attractive for applications in the emerging domain of wireless video sensor networks (WVSNs). This paper reviews the state-of-the-art DVC architectures with a focus on understanding their opportunities and gaps in addressing the operational requirements and application needs of WVSNs.

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Motion-energy-based unequal error protection for H.264/AVC video bitstreams

Pham

Vafi

2014

SIViP

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A fast rate-distortion optimization algorithm for H.264/AVC codec

Cited by 5 publications

References 12 publications

An approach to prediction and providing of compression ratio for DCT based coder applied to remote sensing images

An approach to prediction and providing of compression ratio for DCT based coder applied to remote sensing images

Distributed video coding for wireless video sensor networks: a review of the state-of-the-art architectures

Motion-energy-based unequal error protection for H.264/AVC video bitstreams

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