D
D. Lee
Researcher at IBM
Publications - 9
Citations - 5899
D. Lee is an academic researcher from IBM. The author has contributed to research in topics: Web search query & Image retrieval. The author has an hindex of 8, co-authored 9 publications receiving 5861 citations.
Papers
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Journal ArticleDOI
Query by image and video content: the QBIC system
Myron D. Flickner,Harpreet Sawhney,W. Niblack,Jonathan Ashley,Qian Huang,Byron Dom,Monika Gorkani,James Lee Hafner,D. Lee,Dragutin Petkovic,David Steele,Peter Cornelius Yanker +11 more
TL;DR: The Query by Image Content (QBIC) system as discussed by the authors allows queries on large image and video databases based on example images, user-constructed sketches and drawings, selected color and texture patterns, camera and object motion, and other graphical information.
Proceedings Article
Query by image and video content: the QBIC system
Myron D. Flickner,Harpreet Sawhney,W. Niblack,Jonathan Ashley,Qian Huang,Byron Dom,Monika Gorkani,James Lee Hafner,D. Lee,Dragutin Petkovic,David Steele,Peter Cornelius Yanker +11 more
TL;DR: The Query by Image Content (QBIC) system as mentioned in this paper allows queries on large image and video databases based on example images, user-constructed sketches and drawings, selected color and texture patterns, camera and object motion, and other graphical information.
Proceedings ArticleDOI
The query by image content (QBIC) system
TL;DR: QBIC (Query By Image Content) is a prototype software system for image retrieval that allows a user to query an image collection using features of image content – colors, textures, shapes, locations, and layout of images and image objects.
Book ChapterDOI
Querying multimedia data from multiple repositories by content: the Garlic project
William F. Cody,Laura M. Haas,W. Niblack,M. Arya,Michael J. Carey,Ronald Fagin,Myron D. Flickner,D. Lee,Dragutin Petkovic,Peter Schwarz,John C. Thomas,M. Tork Roth,John H. Williams,Edward L. Wimmers +13 more
TL;DR: How QBIC, an image retrieval system that provides content-based image queries, can be integrated into Garlic results in a system in which a single query can combine visual and nonvisual data using type-specific search techniques, enabling a new breed of multimedia applications.
Proceedings ArticleDOI
Indexing for complex queries on a query-by-content image database
TL;DR: This paper presents QBIC indexing algorithms that allow "multi-*" queries-queries on large image collections involving multifeatures of each image as a whole and of multiple objects within each image to run efficiently.