A Low Complexity Macroblock Layer Rate Control Scheme Base on Weighted-Window for H.264 Encoder

Zhong, Huibo; Shen, S. C.; Fan, Yibo; Zeng, Xiaoyang

doi:10.1007/978-3-642-27355-1_52

Cited by 2 publications

(3 citation statements)

References 4 publications

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“…At the MB layer, to fit given target bits accurately, the QPs must be adjusted to fit video transmission. A previous study [19] analyzed the relationships among the QPs, MAD, and the coded bits to propose a weighted-window model to reduce computational complexity at the MB layer, which is critical to construct an accurate rate-quantization (R-Q) model that can achieve high bitrates. Another previous study [20] exploited both spatial and temporal correlations among neighboring MBs and proposed a context-adaptive model parameter prediction scheme.…”

Section: Related Workmentioning

confidence: 99%

Object-Based Approach for Adaptive Source Coding of Surveillance Video

2019

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Intelligent analysis of surveillance videos over networks requires high recognition accuracy by analyzing good-quality videos that however introduce significant bandwidth requirement. Degraded video quality because of high object dynamics under wireless video transmission induces more critical issues to the success of smart video surveillance. In this paper, an object-based source coding method is proposed to preserve constant quality of video streaming over wireless networks. The inverse relationship between video quality and object dynamics (i.e., decreasing video quality due to the occurrence of large and fast-moving objects) is characterized statistically as a linear model. A regression algorithm that uses robust M-estimator statistics is proposed to construct the linear model with respect to different bitrates. The linear model is applied to predict the bitrate increment required to enhance video quality. A simulated wireless environment is set up to verify the proposed method under different wireless situations. Experiments with real surveillance videos of a variety of object dynamics are conducted to evaluate the performance of the method. Experimental results demonstrate significant improvement of streaming videos relative to both visual and quantitative aspects.

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Section: Related Workmentioning

confidence: 99%

Object-Based Approach for Adaptive Source Coding of Surveillance Video

2019

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“…Some of the previous research efforts are dedicated to low-complexity video encoding on the transmitter side of H.264/AVC standard components [32,53,51,12] while some others have focused on the same concept on the receiver side [46,13,23].…”

Section: Related Workmentioning

confidence: 99%

“…In [53], a weighted-window complexity model based on QP (quantization parameter) decisions and a MAD (Mean Absolute Deviation) prediction model is proposed to decrease the computational complexity of Macroblock-layer (MB-layer) rate control. The relationship among QP, MAD, and the total number of coded bits is analyzed to decide the size of the QP window.…”

Section: Complexity Reduction On the Encoder Sidementioning

confidence: 99%

Decoder-Complexity-Aware Encoding of Motion Compensation for Multiple Heterogeneous Receivers

Langroodi

Peters

Shirmohammadi

2015

ACM Trans. Multimedia Comput. Commun. Appl.

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For mobile multimedia systems, advances in battery technology have been much slower than those in memory, graphics, and processing power, making power consumption a major concern in mobile systems. The computational complexity of video codecs, which consists of CPU operations and memory accesses, is one of the main factors affecting power consumption. In this thesis, we propose a method that achieves near-optimal video quality while respecting user-defined bounds on the complexity needed to decode a video. We start by formulating a scenario with a single receiver as a rate-distortion optimization problem and we develop an efficient decoder-complexity-aware video encoding method to solve it. Then we extend our approach to handle multiple heterogeneous receivers, each with a different complexity requirement. Our experimental results show that our method can achieve up to 97% and an average of 97% of the optimal solution value in single receiver and multiple receiver scenarios, respectively.

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A Low Complexity Macroblock Layer Rate Control Scheme Base on Weighted-Window for H.264 Encoder

Cited by 2 publications

References 4 publications

Object-Based Approach for Adaptive Source Coding of Surveillance Video

Object-Based Approach for Adaptive Source Coding of Surveillance Video

Decoder-Complexity-Aware Encoding of Motion Compensation for Multiple Heterogeneous Receivers

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