Mr. Xiaoquan Yi Profile

Xiaoquan Yi

at Santa Clara Univ

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Proceedings Article | 24 June 2005 Paper

Scalable complexity-distortion model for fast motion estimation

Xiaoquan Yi, Nam Ling

Proceedings Volume 5960, 59603Y (2005) https://doi.org/10.1117/12.632687

KEYWORDS: Distortion, Motion estimation, Video, Computer programming, Motion models, Quantization, Video coding, Scalable video coding, Distance measurement, Diamond

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Recently established international video coding standard H.264/AVC and the upcoming standard on scalable video coding (SVC) bring part of the solution to high compression ratio requirement and heterogeneity requirement. However, these algorithms have unbearable complexities for real-time encoding. Therefore, there is an important challenge to reduce encoding complexity, preferably in a scalable manner. Motion estimation and motion compensation techniques provide significant coding gain but are the most time-intensive parts in an encoder system. They present tremendous research challenges to design a flexible, rate-distortion optimized, yet computationally efficient encoder, especially for various applications. In this paper, we present a scalable motion estimation framework for complexitydistortion consideration. We propose a new progressive initial search (PIS) method to generate an accurate initial search point, followed by a fast search method, which can greatly benefit from the tighter bounds of the PIS. Such approach offers not only significant speedup but also an optimal distortion performance for a given complexity constrain. We analyze the relationship between computational complexity and distortion (C-D) through probabilistic distance measure extending from the complexity and distortion theory. A configurable complexity quantization parameter (Q) is introduced. Simulation results demonstrate that the proposed scalable complexity-distortion framework enables video encoder to conveniently adjust its complexity while providing best possible services.

Proceedings Article | 14 March 2005 Paper

Zero-motion vector-biased cross-diamond search algorithm for rapid block matching motion estimation

Xiaoquan Yi, Nam Ling

Proceedings Volume 5685, (2005) https://doi.org/10.1117/12.588128

KEYWORDS: Video, Cadmium sulfide, Diamond, Digital signal processing, Motion estimation, Distortion, Diamond patterning, Computer programming, Video coding, Single crystal X-ray diffraction

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High compression ratio and very low encoding computational complexity are the keys in designing successful encoder for energy constrained video conversational applications since coding efficiency, speed, and energy frugality are critical. Computation-intensive motion estimation (ME) process is an obstacle to overcome for these applications. To control and optimize encoding complexity behavior, we propose a zero-motion-vector-biased cross-diamond search (ZCDS) algorithm for rapid block matching based on the well-known cross-diamond search (CDS) algorithm. Unlike many conventional fast block-matching algorithms (BMAs), which use either fixed threshold or distortion function of temporally or spatially adjacent blocks for early search termination, ZCDS is based on a dynamic block distortion threshold, via a linear model utilizing already computed statistics and information of current block. A new fine granularity halfway-stop (FGHS) method is also proposed for early termination of the search process. Designed for various motion contents, ZCDS adaptively starts with a small or large cross search pattern, which is automatically determined via an initial block matching distortion. Experimental results show that the proposed algorithm achieves smoother motion vector fields and demands significantly less search points with marginal peak-signal-to-noise-ratio (PSNR) loss when compared to those of full search and other conventional fast BMAs.

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