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Processing the Signature Quadratic Form Distance on Many-Core GPU Architectures

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F11%3A10100163" target="_blank" >RIV/00216208:11320/11:10100163 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Processing the Signature Quadratic Form Distance on Many-Core GPU Architectures

  • Original language description

    The Signature Quadratic Form Distance on feature signatures represents a flexible distance-based similarity model for effective content-based multimedia retrieval. Although metric indexing approaches are able to speed up query processing by two orders ofmagnitude, their applicability to large-scale multimedia databases containing billions of images is still a challenging issue. In this paper, we propose the utilization of GPUs for efficient query processing with the Signature Quadratic Form Distance. We show how to process multiple distance computations in parallel and demonstrate efficient query processing by comparing many-core GPU with multi-core CPU implementations.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GAP202%2F11%2F0968" target="_blank" >GAP202/11/0968: Large-scale Nonmetric Similarity Search in Complex Domains</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2011

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Compilation Proceedings of CIKM 2011 and the co-located Workshops

  • ISBN

    978-1-4503-0717-8

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    2373-2376

  • Publisher name

    ACM

  • Place of publication

    New York

  • Event location

    Glasgow

  • Event date

    Oct 24, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article