• DocumentCode
    863663
  • Title

    Hierarchical Cellular Tree: An Efficient Indexing Scheme for Content-Based Retrieval on Multimedia Databases

  • Author

    Kiranyaz, Serkan ; Gabbouj, Moncef

  • Author_Institution
    Inst. of Signal Process., Tampere Univ. of Technol.
  • Volume
    9
  • Issue
    1
  • fYear
    2007
  • Firstpage
    102
  • Lastpage
    119
  • Abstract
    One of the challenges in the development of a content-based multimedia indexing and retrieval application is to achieve an efficient indexing scheme. The developers and users who are accustomed to making queries to retrieve a particular multimedia item from a large scale database can be frustrated by the long query times. Conventional indexing structures cannot usually cope with the requirements of a multimedia database, such as dynamic indexing or the presence of high-dimensional audiovisual features. Such structures do not scale well with the ever increasing size of multimedia databases whilst inducing corruption and resulting in an over-crowded indexing structure. This paper addresses such problems and presents a novel indexing technique, hierarchical cellular tree (HCT), which is designed to bring an effective solution especially for indexing large multimedia databases. Furthermore it provides an enhanced browsing capability, which enables user to make a guided tour within the database. A pre-emptive cell-search mechanism is introduced in order to prevent corruption, which may occur due to erroneous item insertions. Among the hierarchical levels that are built in a bottom-up fashion, similar items are collected into appropriate cellular structures at some level. Cells are subject to mitosis operations when the dissimilarity exceeds a required level. By mitosis operations, cells are kept focused and compact and yet, they can grow into any dimension as long as the compactness is maintained. The proposed indexing scheme is then used along with a recently introduced query method, the progressive query, in order to achieve the ultimate goal, from the user point of view that is retrieval of the most relevant items in the earliest possible time regardless of the database size. Experimental results show that the speed of retrievals is significantly improved and the indexing structure shows no sign of degradations when the database size is increased. Furthermore, HCT ind- exing body can conveniently be used for efficient browsing and navigation operations among the multimedia database items
  • Keywords
    content-based retrieval; database indexing; multimedia databases; tree data structures; content-based retrieval; hierarchical cellular tree; mitosis operation; multimedia database; multimedia indexing structure; Content based retrieval; Degradation; Image retrieval; Indexing; Information retrieval; Large-scale systems; Multimedia databases; Multimedia systems; Spatial databases; Visual databases; Content-based retrieval; metric access methods; multimedia databases; similarity-based indexing;
  • fLanguage
    English
  • Journal_Title
    Multimedia, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1520-9210
  • Type

    jour

  • DOI
    10.1109/TMM.2006.886362
  • Filename
    4032612