Learn More
The newly developed HEVC video coding standard can achieve higher compression performance than the previous video coding standards, such as MPEG-4, H.263 and H.264/AVC. However, HEVC's high computational complexity raises concerns about the computational burden on real-time application. In this paper, a fast pyramid motion divergence (PMD) based CU(More)
Virtual machines (VMs) and virtualization are one of the core computing technologies today. Inter-VM communication is not only prevalent but also one of the leading costs for data-intensive systems and applications in most data centers and cloud computing environments. One way to improve inter-VM communication efficiency is to support coresident VM(More)
Blind image quality assessment (BIQA) has attracted a great deal of attention due to the increasing demand in industry and the promising recent progress in academia. To bridge the gap between academic research accomplishment and industrial needs, high efficiency BIQA approaches that allow for real-time computation are highly desirable. In this paper, we(More)
Objective image quality assessment (IQA) models aim to automatically predict human visual perception of image quality and are of fundamental importance in the field of image processing and computer vision. With an increasing number of IQA models proposed, how to fairly compare their performance becomes a major challenge due to the enormous size of image(More)
Multi-core architecture provides more on-chip parallelism and powerful computational capability. It helps virtualization achieve scalable performance. KVM (kernel based virtual machine) is different from other virtualization solutions which can make use of the Linux kernel components such as Completely Fair Scheduler (CFS). However, CFS treats the KVM(More)
The newly developed High Efficiency Video Coding (HEVC) Standard has improved video coding performance significantly in comparison to its predecessors. However, more intensive computation complexity is introduced by implementing a number of new coding tools. In this paper, a fast coding unit (CU) decision based on Markov random field (MRF) is proposed for(More)
The great content diversity of real-world digital images poses a grand challenge to image quality assessment (IQA) models, which are traditionally designed and validated on a handful of commonly used IQA databases with very limited content variation. To test the generalization capability and to facilitate the wide usage of IQA techniques in real-world(More)
To program in distributed computing environments such as grids and clouds, workflow is adopted as an attractive paradigm for its powerful ability in expressing a wide range of applications, including scientific computing, multi-tier Web, and big data processing applications. With the development of cloud technology and extensive deployment of cloud(More)
In this paper, we propose an efficient blind image quality assessment (BIQA) algorithm, which is characterized by a new feature fusion scheme and a k-nearest-neighbor (KNN)-based quality prediction model. Our goal is to predict the perceptual quality of an image without any prior information of its reference image and distortion type. Since the reference(More)
This letter presents a noise-robust descriptor by exploring a set of local contrast patterns (LCPs) via global measures for texture classification. To handle image noise, the directed and undirected difference masks are designed to calculate three types of local intensity contrasts: directed, undirected, and maximum difference responses. To describe(More)