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A Multi-Grained Parallel Solution for HEVC Encoding on Heterogeneous Platforms

To improve the parallel processing capability of video coding, the emerging high efficiency video coding (HEVC) standard introduces two parallel techniques, i.e., Wavefront Parallel Processing (WPP) and  Tiles , to make it much more parallel-friendly than its predecessors. However, these two techniques are designed to explore coarse-grained parallelism in HEVC encoding on multicore Central Processing Unit (CPU) platforms.

Learning Semantic Text Features for Web Text-Aided Image Classification

The good generalization performance of conventional pattern classifiers often relies on the size of training data labeled by costly human labor. These days, publicly available web resources grow explosively, and this allows us to easily obtain abundant and cheap web data. Yet, web data are usually not as cooperative as human labeled data. In this paper, we explore the use of web text data to aid image classification.

Joint Texture/Depth Power Allocation for 3-D Video SoftCast

Recently, a novel uncoded (pseudoanalog) scheme called SoftCast is proposed for wireless video transmission, which eliminates the cliff effect of the state-of-the-art source-channel coding based schemes and achieves linear quality transition within a wide range of channel signal-to-noise ratio. Therefore, SoftCast-like uncoded and hybrid transmission has become an attractive research issue for natural 2-D video. However, very few studies focus on the SoftCast-based wireless transmission of the 3-D video (3DV) currently.

NLP Research Scientist (Open Rank)

Are you passionate about solving big scientific problems in education through innovative technology and working in a highly multi-disciplinary collaborative environment? Would you like to know more about how computer vision, affective computing and machine learning are helping create new forms of learning and assessment tools? If this sounds intriguing, then we'd like to talk to you about a role as part of a new ACTNext, ACT R&D team tackling a set of problems requiring significant innovation.

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Past Members

The following lists all the past chairs and members of the SPS Signal Processing for Communications and Networking Technical Committee. 

*NOTE: Please scroll up/down and left/right within the Past Members window to view the full list. Also, view the full downloadable list (right-click, Save As to save file).