Query by Image and Video Content: The QBIC System

  title={Query by Image and Video Content: The QBIC System},
  author={Myron Flickner and Harpreet S. Sawhney and Jonathan Ashley and Qian Huang and Byron Dom and Monika Gorkani and Jim Hafner and Denis Lee and Dragutin Petkovic and David Steele and Peter Yanker},
Research on ways to extend and improve query methods for image databases is widespread. We have developed the QBIC (Query by Image Content) system to explore content-based retrieval methods. QBIC 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. Two key properties of QBIC are (1) its use of image and video content-computable properties… Expand
Updates to the QBIC system
Current research directions of the QBIC project such as indexing for high-dimensional multimedia data, retrieval of gray level images, and storyboard generation suitable for video are discussed. Expand
Using multiple examples for content-based image retrieval
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  • Computer Science
  • 2000 IEEE International Conference on Multimedia and Expo. ICME2000. Proceedings. Latest Advances in the Fast Changing World of Multimedia (Cat. No.00TH8532)
  • 2000
The paper presents a system that supports query-by-image using multiple image examples, both positive and negative, and enables editing of examples so as to disregard those image features that are not relevant to the query. Expand
DrawSearch: a tool for interactive content-based image retrieval over the Internet
A prototype implementation of DRAWSEARCH, an image retrieval by content system, which uses color and shape features to index and retrieve images and implements relevance feedback to allow users to dynamically refine queries. Expand
Content-based image indexing and retrieval system in ImageRoadMap
A combination of effective indexing methods based on a novel spatial color distribution mode is introduced, which allows queries to be formulated and presented in several different ways. Expand
Content-based image indexing and retrieval in ImageRoadMap
A combination of effective indexing methods based on a novel spatial color distribution model is introduced in ImageRoadMap, a new content-based image retrieval system for retrieval of images by visual information. Expand
Content-Based Image Retrieval: A Comparison between Query by Example and Image Browsing Map Approaches
It is found that the image browsing map provides more functionalities and capabilities to support the features of information seeking behavior and produces better performance in searching images. Expand
Image retrieval using resegmentation driven by query rectangles
The use of rectangles in queries to express properties of regions in the desired target images, and the use of oversegmentation to build the index of images in the database are addressed. Expand
VISMap: an interactive image/video retrieval system using visualization and concept maps
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VISMap is presented, a visual information seeking system that extends the traditional query paradigms of query-by-example and query- by-sketch and replaces the models of relevance feedback with principles from information visualization and concept representation. Expand
A histogram-based approach for object-based query-by-shape-and-color in image and video databases
The proposed histogram-based approach is used as a component in the query-by-feature subsystem of a video database management system and the evaluation of the retrieval effectiveness and the robustness of the proposed approach is presented. Expand
Image retrieval by positive and negative examples
In this paper a system is presented that supports query-by-image using multiple image examples that can be positive and negative and can be edited in order to disregard irrelevant image features. Expand


QBIC project: querying images by content, using color, texture, and shape
The main algorithms for color texture, shape and sketch query that are presented, show example query results, and discuss future directions are presented. Expand
Automatic and semiautomatic methods for image annotation and retrieval in query by image content (QBIC)
Two sets of algorithms for semi-automatic identification of image objects during database population are described, improving the speed and usability of this manually-intensive step. Expand
Photobook: tools for content-based manipulation of image databases
We describe the Photobook system, which is a set of interactive tools for browsing and searching images and image sequences. These tools differ from those used in standard image databases in thatExpand
Salient video stills: content and context preserved
A new class of images called salient stills is demonstrated and a software development platform for their creation is discussed and a by-product of the salient still process is a structured representation of moving image data. Expand
Model-based 2D&3D dominant motion estimation for mosaicing and video representation
This work addresses the problem of computation of the dominant image transformation over time and employs an automatic computation of a scale parameter that is crucial in rejecting the non dominant components as outliers. Expand
VideoMAP and VideoSpaceIcon: tools for anatomizing video content
The basic concept of VideoMAP and VideoSpaceIcon, which allow the user's creativity to directly interact with the essential features of each video by offering spatial and temporal clues, are introduced. Expand
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Layered representation of motion video using robust maximum-likelihood estimation of mixture models and MDL encoding
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  • Mathematics, Computer Science
  • Proceedings of IEEE International Conference on Computer Vision
  • 1995
This paper presents one such formulation based on maximum likelihood estimation (MLE) of mixture models and the minimum description length (MDL) encoding principle of layered motion representation, and examines how many motion models adequately describe image motion. Expand
Layered representation for motion analysis
A set of techniques is devised for segmenting images into coherently moving regions using affine motion analysis and clustering techniques and it is possible to decompose an image into a set of layers along with information about occlusion and depth ordering. Expand