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

• Published in: IEEE transactions on multimedia Vol. 9; no. 1; pp. 102 - 119
• Main Authors: Kiranyaz, S., Gabbouj, M.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.01.2007; Institute of Electrical and Electronic Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Applied sciences; Cellular; Computer science; control theory; systems; Content based retrieval; Degradation; Exact sciences and technology; Image retrieval; Indexing; Information retrieval; Information systems. Data bases; Large-scale systems; Memory organisation. Data processing; metric access methods; Mitosis; Multimedia; Multimedia databases; Multimedia systems; Queries; Retrieval; similarity-based indexing; Software; Spatial databases; Studies; Trees; Visual databases; Multimedia; Scalability; Database query; Compactness; similarity-based indexing; Multimedia databases; Very large databases; Crowd; Case based reasoning; Information browsing; Audiovisual; Database; Bottom up method; Content-based retrieval; metric access methods; Metric; Audiovisual equipment; Indexing
• ISSN: 1520-9210; 1941-0077
• DOI: 10.1109/TMM.2006.886362

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 indexing body can conveniently be used for efficient browsing and navigation operations among the multimedia database items