• DocumentCode
    2775243
  • Title

    MSRA-MM 2.0: A Large-Scale Web Multimedia Dataset

  • Author

    Li, Hao ; Wang, Meng ; Hua, Xian-Sheng

  • Author_Institution
    Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing, China
  • fYear
    2009
  • fDate
    6-6 Dec. 2009
  • Firstpage
    164
  • Lastpage
    169
  • Abstract
    In this paper, we introduce the second version of Microsoft Research Asia Multimedia (MSRA-MM), a dataset that aims to facilitate research in multimedia information retrieval and related areas. The images and videos in the dataset are collected from a commercial search engine with more than 1000 queries. It contains about 1 million images and 20,000 videos. We also provide the surrounding texts that are obtained from more than 1 million Web pages. The images and videos have been comprehensively annotated, including their relevance levels to corresponding queries, semantic concepts of images, and category and quality information of videos. We define six standard tasks on the dataset: (1) image search reranking; (2) image annotation; (3) query-by-example image search; (4) video search reranking; (5) video categorization; and (6) video quality assessment.
  • Keywords
    Internet; information retrieval; multimedia computing; video signal processing; MSRA-MM 2.0; Microsoft Research Asia Multimedia; Web pages; commercial search engine; image annotation; image search reranking; large-scale Web multimedia dataset; multimedia information retrieval; query-by-example image search; video categorization; video quality assessment; video search reranking; Asia; Conferences; Data mining; Information retrieval; Large-scale systems; Multimedia computing; Quality assessment; Search engines; Videos; Web pages;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Mining Workshops, 2009. ICDMW '09. IEEE International Conference on
  • Conference_Location
    Miami, FL
  • Print_ISBN
    978-1-4244-5384-9
  • Electronic_ISBN
    978-0-7695-3902-7
  • Type

    conf

  • DOI
    10.1109/ICDMW.2009.46
  • Filename
    5360509