On Image Retrieval Using Salient Regions with Vector-Spaces and Latent Semantics
- 1 January 2005
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC in Lecture Notes in Computer Science
- p. 540-549
- https://doi.org/10.1007/11526346_57
Abstract
No abstract availableKeywords
This publication has 12 references indexed in Scilit:
- Content-based image retrieval using a mobile device as a novel interfacePublished by SPIE-Intl Soc Optical Eng ,2005
- Distinctive Image Features from Scale-Invariant KeypointsInternational Journal of Computer Vision, 2004
- Salient Regions for Query by Image ContentLecture Notes in Computer Science, 2004
- Evaluation of salient point techniquesImage and Vision Computing, 2003
- Improving response time by search pruning in a content-based image retrieval system, using inverted file techniquesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Video Google: a text retrieval approach to object matching in videosPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Combining textual and visual cues for content-based image retrieval on the World Wide WebPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- From features to semantics: some preliminary resultsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Blobworld: image segmentation using expectation-maximization and its application to image queryingIeee Transactions On Pattern Analysis and Machine Intelligence, 2002
- Indexing by latent semantic analysisJournal of the American Society for Information Science, 1990