Addressing CBIR efficiency, effectiveness, and retrieval subjectivity simultaneously
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
A unified framework for image database clustering and content-based retrieval
Proceedings of the 2nd ACM international workshop on Multimedia databases
Hierarchical Indexing Structure for Efficient Similarity Search in Video Retrieval
IEEE Transactions on Knowledge and Data Engineering
ALSBIR: A local-structure-based image retrieval
Pattern Recognition
Iconic pictorial retrieval using multiple attributes and spatial relationships
Knowledge-Based Systems
Distributed multimedia information systems: an end-to-end perspective
Multimedia Tools and Applications
Graph-based representation for similarity retrieval of symbolic images
Data & Knowledge Engineering
A general shape context framework for object identification
Computer Vision and Image Understanding
A secure framework exploiting content guided and automated algorithms for real time video searching
Multimedia Tools and Applications
Hierarchical clustering-merging for multidimensional index structures
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
A multi-type indexing CBVR system constructed with MPEG-7 visual features
AMT'11 Proceedings of the 7th international conference on Active media technology
Indexing structures for content-based retrieval of large image databases: a review
AIRS'05 Proceedings of the Second Asia conference on Asia Information Retrieval Technology
Semantic feature extraction based on video abstraction and temporal modeling
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part I
Machine Graphics & Vision International Journal - Special issue on Image Databases
Frontiers of Computer Science: Selected Publications from Chinese Universities
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As more and more information is captured and stored in digital form, many techniques and systems have been developed for indexing and retrieval of text documents, audio, images, and video. The retrieval is normally based on similarities between extracted feature vectors of the query and stored items. Feature vectors are usually multidimensional. When the number of stored objects and/or the number of dimensions of the feature vectors are large, it will be too slow to linearly search all stored feature vectors to find those that satisfy the query criteria. Techniques and data structures are thus required to organize feature vectors and manage the search process so that objects relevant to the query can be located quickly. This paper provides a survey of these techniques and data structures.