Proceedings ArticleDOI
Temporal color correlograms for video retrieval
Mika Rautiainen,David Doermann +1 more
- Vol. 1, pp 10267
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TLDR
The efficiency of the temporal color correlogram and HSV color correlograms are evaluated against other retrieval systems participating the TREC video track evaluation and against color histograms used commonly in content-based retrieval.Abstract:
This paper presents a novel method to retrieve segmented video shots based on their color content. The temporal color correlogram captures the spatiotemporal relationship of colors in a video shot using cooccurrence statistics. The temporal color correlogram extends the HSV color correlogram that has been found to be very effective in content-based image retrieval. Temporal color correlograms compute the autocorrelation of quantized HSV color values from a set of frame samples taken from a video shot. In this paper, the efficiency of the temporal color correlogram and HSV color correlograms are evaluated against other retrieval systems participating the TREC video track evaluation and against color histograms used commonly in content-based retrieval. We used queries and relevance judgments on the I I hours of segmented MPEG-1 video provided to track participants. Tests are executed using our content-based multimedia retrieval system that was specifically developed for multimedia information retrieval applications.read more
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References
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TL;DR: This chapter discusses the development of Hardware and Software for Computer Graphics, and the design methodology of User-Computer Dialogues, which led to the creation of the Simple Raster Graphics Package.
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 ArticleDOI
VisualSEEk: a fully automated content-based image query system
John R. Smith,Shih-Fu Chang +1 more
TL;DR: The VisualSEEk system is novel in that the user forms the queries by diagramming spatial arrangements of color regions by utilizing color information, region sizes and absolute and relative spatial locations.
Proceedings ArticleDOI
Image indexing using color correlograms
TL;DR: Experimental evidence suggests that this new image feature called the color correlogram outperforms not only the traditional color histogram method but also the recently proposed histogram refinement methods for image indexing/retrieval.