Content--based visual information retrieval (CBVIR) or Content--Based Image Retrieval (CBIR) has been one on the most vivid research areas in the field of computer vision over the last 10 years. The availability of large and steadily growing amounts of visual and multimedia data, and the development of the Internet underline the need to create thematic access methods that o#er more than simple text-- based queries or requests based on matching exact database fields. Many programs and tools have been developed to formulate and execute queries based on the visual or audio content and to help browsing large multimedia repositories. Still, no general breakthrough has been achieved with respect to large varied databases with documents of di#ering sorts and with varying characteristics. Answers to many questions with respect to speed, semantic descriptors or objective image interpretations are still unanswered.
|
951
|
Color Indexing
– Swain, Ballard
- 1991
|
|
693
|
Query by image and video content: The QBIC system
– Flickner, Sawhney, et al.
- 1995
|
|
619
|
Content-based image retrieval at the end of the early years
– Smeulders, Worring, et al.
|
|
546
|
Features of Similarity
– Tversky
- 1977
|
|
468
|
Visualseek: A fully automated content-based image query system
– Smith, Chang
- 1996
|
|
451
|
The QBIC project: Querying images by content using color, texture and shape
– Niblack, Barber
- 1994
|
|
334
|
Photobook: Tools for Content-Based Manipulation of Image Databases
– Pentland, Picard, et al.
- 1994
|
|
227
|
Blobworld: A system for regionbased image indexing and retrieval
– Carson, Thomas, et al.
- 1999
|
|
220
|
The Virage image search engine: An open frameworl for image management
– Bach, Fuller, et al.
- 1996
|
|
219
|
Visual Information Retrieval
– Bimbo
- 1999
|
|
215
|
SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries
– Wang, Li, et al.
|
|
200
|
The Principles of Gestalt Psychology
– Koffka
- 1935
|
|
187
|
High confidence visual recognition of persons by a test of statistical independence
– Daugman
- 1993
|
|
184
|
Visual information retrieval
– GUPTA, JAIN
- 1997
|
|
144
|
A survey of shape analysis techniques
– Loncaric
- 1998
|
|
134
|
Image retrieval using color and shape
– Jain, Vailaya
- 1996
|
|
121
|
A comparative study of texture measures for terrain classi cation
– Weszka, Dyer, et al.
- 1976
|
|
119
|
Interactive Learning Using a ‘Society of Models
– Minka, Picard
|
|
112
|
Color- and texture-based images segmentation using em and its application to image querying and classification
– Carson, Belongie, et al.
- 1998
|
|
95
|
Region-based image querying
– Carson, Belongie, et al.
- 1997
|
|
78
|
Query by image example: The CANDID approach
– Kelly, Cannon, et al.
- 1995
|
|
73
|
Texture features and learning similarity
– Ma, Manjunath
- 1996
|
|
69
|
Image retrieval: Past, present, and future
– Rui, Huang, et al.
- 1997
|
|
66
|
D.: On the surprising behavior of distance metrics in high dimensional space
– Aggarwal, Hinneburg, et al.
|
|
65
|
Supporting ranked Boolean similarity queries in MARS
– Ortega, Rui, et al.
- 1998
|
|
63
|
Color invariance
– Geusebroek, Boomgaard, et al.
|
|
57
|
State-of-the-art in Shape Matching
– Veltkamp, Hagedoorn
- 1999
|
|
53
|
Virage video engine
– HUMRAPUR, GUPTA, et al.
- 1997
|
|
50
|
Wavelet-based image indexing techniques with partial sketch retrieval capability
– Wang, Wiederhold, et al.
- 1997
|
|
47
|
ASSERT, A physician-in-the-loop content-based image retrieval system for HRCT image databases, Comput. Vision Image Understand. 74
– Shyu, Brodley, et al.
- 1999
|
|
34
|
A Comparative Study of Several Color Models for Color Image Invariant Retrieval
– Gevers, Smeulders
- 1996
|
|
33
|
Target testing and the pichunter bayesian multimedia retrieval system
– Cox, Miller, et al.
- 1996
|
|
28
|
Pictorial information retrieval
– Enser
- 1995
|
|
23
|
Content-based Image Retrieval
– Eakins, Graham
- 1999
|
|
15
|
Query-by-Pictorial Example
– Chang
- 1980
|
|
10
|
ImageRover: a content-based browser for the world wide web
– Sclaroff, Taycher, et al.
- 1997
|
|
9
|
A Rotation, Translation, and Scale-Invariant Approach to Content-Based Image Retrieval
– Milanese, Cherbuliez
- 1999
|
|
9
|
Differential feature distribution maps for image segmentation and region queries in image databases
– Winter, Nastar
|
|
7
|
A review of intelligent content–based indexing and browsing of medical images
– Tang, Hanka, et al.
- 1999
|
|
7
|
Tools for texture- and color-based search of images
– Ma, Deng, et al.
- 1997
|
|
7
|
Design and evaluation of a content-based image retrieval system
– Squire, Müller, et al.
- 2001
|
|
7
|
Gabor space and the development of preattentive similarity
– Santini, Jain
- 1996
|
|
5
|
Dynamic multimedia annotation tool
– Pfund, Marchand-Maillet
- 2002
|
|
5
|
Wold features for unsupervised texture segmentation
– Lu, Chung
- 1998
|
|
5
|
Unsupervised segmentation of color images based on k-means clustering in the chromaticity plane
– Lucchese, Mitra
- 1999
|
|
5
|
Strings and Necklaces: On Learning and Browsing Medical Image Segmentations
– Ghebreab
- 2002
|
|
4
|
Classification-driven feature space reduction for semantic–based neuroimage retrieval
– Liu, Lazar, et al.
- 2001
|
|
3
|
Content-based image retrieval
– Venters, Cooper
- 2000
|
|
3
|
A novel image viewer providing fast object delineation for content based retrieval and navigation
– Perry, Lewis
- 1997
|
|
3
|
Semantic based image categorization, browsing and retrieval in medical image databases
– Mojsilovis, Gomes
- 2000
|
