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Researchers at Huazhong University of Science and Technology Target Life Science Research (Accelerating content-based image retrieval via...

July 15, 2014



Researchers at Huazhong University of Science and Technology Target Life Science Research (Accelerating content-based image retrieval via GPU-adaptive index structure)

By a News Reporter-Staff News Editor at Life Science Weekly -- Data detailed on Life Science Research have been presented. According to news originating from Wuhan, People's Republic of China, by NewsRx editors, the research stated, "A tremendous amount of work has been conducted in content-based image retrieval (CBIR) on designing effective index structure to accelerate the retrieval process. Most of them improve the retrieval efficiency via complex index structures, and few take into account the parallel implementation of them on underlying hardware, making the existing index structures suffer from low-degree of parallelism."

Our news journalists obtained a quote from the research from the Huazhong University of Science and Technology, "In this paper, a novel graphics processing unit (GPU) adaptive index structure, termed as plane semantic ball (PSB), is proposed to simultaneously reduce the work of retrieval process and exploit the parallel acceleration of underlying hardware. In PSB, semantics are embedded into the generation of representative pivots and multiple balls are selected to cover more informative reference features. With PSB, the online retrieval of CBIR is factorized into independent components that are implemented on GPU efficiently. Comparative experiments with GPU-based brute force approach demonstrate that the proposed approach can achieve high speedup with little information loss. Furthermore, PSB is compared with the state-of-the-art approach, random ball cover (RBC), on two standard image datasets, Corel 10?K and GIST 1?M."

According to the news editors, the research concluded: "Experimental results show that our approach achieves higher speedup than RBC on the same accuracy level."

For more information on this research see: Accelerating content-based image retrieval via GPU-adaptive index structure. Thescientificworldjournal [electronic Resource], 2014;2014():829059 (see also Life Science Research).

The news correspondents report that additional information may be obtained from L. Zhu, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, People's Republic of China.

Keywords for this news article include: Asia, Wuhan, Life Science Research, People's Republic of China.

Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2014, NewsRx LLC


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Source: Life Science Weekly


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