A new videocoding algorithm called the first-order-residual/second-order-residual (FOR/SOR) codec is proposed for high definition (hd) videocoding in this work. Several advanced coding techniques are adopted in the ...
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A new videocoding algorithm called the first-order-residual/second-order-residual (FOR/SOR) codec is proposed for high definition (hd) videocoding in this work. Several advanced coding techniques are adopted in the proposed FOR/SOR codec. For the FOR codec, the well known block-based motion compensated predictive codec is used to exploit temporal and spatial correlations in input image frames. However, it is observed that there still exists structured residual signal after the FOR coding, and a SOR coder is developed to encode residual image frames efficiently. To improve the coding performance furthermore, we consider bit allocation between the FOR and SOR coders at the same block and determine their optimal quantization parameters systematically. It is shown by experimental results that the proposed FOR/SOR codec outperforms H.264/AVC significantly in hd video coding. (C) 2012 Elsevier Inc. All rights reserved.
High-Definition (hd) videos often contain rich details as well as large homogeneous regions. To exploit such a property, Variable Block-size Transforms (VBT) should be in place so that transform block size can adapt t...
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ISBN:
(纸本)3540487662
High-Definition (hd) videos often contain rich details as well as large homogeneous regions. To exploit such a property, Variable Block-size Transforms (VBT) should be in place so that transform block size can adapt to local activities. In this paper, we propose a 16x16 Integer Cosine Transform (ICT) for hd video coding, which is simple and efficient. This 16x16 ICT is integrated into the AVS Zengqiang Profile and used adaptively as an alternative to the 8x8 ICT. Experimental results show that 16x16 transform can be a very efficient coding tool especially for hd video coding.
High Definition (hd) videos are the most widely used in hd television and mobile phones now a days for transmission and storage. Due to large data size, hdvideos require efficient and robust videocoding mechanism to...
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ISBN:
(纸本)9781467387538
High Definition (hd) videos are the most widely used in hd television and mobile phones now a days for transmission and storage. Due to large data size, hdvideos require efficient and robust videocoding mechanism to enable real-time encoding. Numerous Motion Estimation (ME) algorithms are proposed to reduce the computational complexity of the coding process. In this paper, we present the performance analysis of some famous Block Matching ME Algorithms (BMAs) for hdvideos. Different performance measuring parameters are used to evaluate the performance of BMAs, like Peak Signal to Noise Ratio (PSNR), ME time, Mean Square Error (MSE). The simulation results show that the Adaptive Rood Pattern Search (ARPS) ME algorithm outperforms in term of MSE, PSNR and number of search points, for hd (720p) videos, over various search parameters. ARPS, Diamond Search (DS) and Flatted Hexagon Search (FHS) ME algorithms improve the PSNR from 32dB to 48dB for some video sequences, by increasing search range, whereas the number of search points also increased with the same parameter that causes to increased ME time and computational complexity.
Technologies used in today's videocoding standards have been designed and optimized mainly for Standard Definition (SD) resolutions and below. When moving to higher resolutions, data in video frames tend to becom...
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ISBN:
(纸本)9781424414833
Technologies used in today's videocoding standards have been designed and optimized mainly for Standard Definition (SD) resolutions and below. When moving to higher resolutions, data in video frames tend to become more correlated spatially. In this paper, we study how to take advantage of this phenomenon to lower computational requirements for High Definition (hd) videocoding. A coding method based on low complexity pruned transforms and interleaving of multiple transform coefficient blocks is proposed. An example implementation of this method in the context of H.264/AVC is also presented. Experimental results show that the proposed method maintains the high compression efficiency of H.264/AVC while significantly lowering the coding complexity of the codec.
A first-order-residual/second-order-residual (FOR/SOR) based videocoding algorithm that incorporates the super macroblock (SMB) and the inter-frame stripe prediction (ISP) technique is proposed for high definition (H...
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ISBN:
(纸本)9781457705397
A first-order-residual/second-order-residual (FOR/SOR) based videocoding algorithm that incorporates the super macroblock (SMB) and the inter-frame stripe prediction (ISP) technique is proposed for high definition (hd) videocoding in this work. We first examine the limitation of the SMB in high-bit-rate coding, and show that a simple extension of the block-size is not sufficient to get a significant improvement in coding performance. Then, we introduce the FOR/SOR coding technique to resolve this issue. For the FOR coding, we apply a larger quantization stepize and motion-predictive coding to remove the temporal correlation. Then, for the SOR coding, we propose an efficient prediction method, called the inter-frame stripe prediction (ISP) technique, to remove the structured residuals after the FOR coding to achieve a higher coding gain. It is demonstrated by experimental results that the proposed FOR/SOR algorithm outperforms H.264/AVC by a significant margin;namely, about 21.57% in the bit rate saving or 1.09dB in the PSNR improvement.
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