Multi-Linearization Data Structure for Image Browsing

Multi-Linearization Data Structure for Image Browsing (1999)

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by Scott Craver , Boon-lock Yeo , Minerva Yeung

Venue:	In SPIE { The International Society for Optical Engineering
Citations:	11 - 2 self

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Datum	Value	Source
TITLE	Multi-Linearization Data Structure for Image Browsing	user correction - Legacy Corrections
AUTHOR NAME	Scott Craver	SVM HeaderParse 0.1
AUTHOR AFFIL	Electrical Engineering Department Microcomputer Research Labs; Princeton University Intel Corporation	SVM HeaderParse 0.2
AUTHOR ADDR	Princeton, NJ 08544 Santa Clara, CA 95052	SVM HeaderParse 0.1
AUTHOR NAME	Boon-lock Yeo	SVM HeaderParse 0.1
AUTHOR AFFIL	Electrical Engineering Department Microcomputer Research Labs; Princeton University Intel Corporation	SVM HeaderParse 0.2
AUTHOR ADDR	Princeton, NJ 08544 Santa Clara, CA 95052	SVM HeaderParse 0.1
AUTHOR NAME	Minerva Yeung	SVM HeaderParse 0.1
AUTHOR AFFIL	Electrical Engineering Department Microcomputer Research Labs; Princeton University Intel Corporation	SVM HeaderParse 0.2
AUTHOR ADDR	Princeton, NJ 08544 Santa Clara, CA 95052	SVM HeaderParse 0.1
ABSTRACT	Image search has been actively studied in recent years. On the other hands, image browsing has received little attention. Image browsing refers to the process of presenting some forms of overview or summary of the image relationships, thus facilitating a user to navigate across the data set and find images of interests. In this paper, we present a new data structure built on the multi-linearization of image attributes for efficient organization of the data set and fast visual browsing of the images. We describe new techniques for multi-linearization based on multiple space-filling curves and hierarchical clustering techniques. In addition to providing fast navigation, our proposed data structure allows computationally efficient insertion and deletion of images from the data set. We then present a novel image navigator and browser built on dual-linearization data structure and intuitive presentation of image relevance and relationships, demonstrate the image navigation process, and repo...	user correction - Legacy Corrections
YEAR	1999	user correction - Legacy Corrections
VENUE	In SPIE { The International Society for Optical Engineering	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	155--166	INFERENCE
VOLUME	3656	INFERENCE
CITATIONS	15 found	ParsCit 1.0