Visualseek: a fully automated content-based image query system: Unterschied zwischen den Versionen

Aus de_evolutionary_art_org
Wechseln zu: Navigation, Suche
(Die Seite wurde neu angelegt: „ == Reference == Smith, J., Chang, S.F. (1996). Visualseek: a fully automated content-based image query system. In: Proc. ACM-MM, 87–98. == DOI == http://dx…“)
 
(→‎Used References)
 
Zeile 24: Zeile 24:
 
== Bibtex ==  
 
== Bibtex ==  
  
−
== Used References ==
+
Michael J. Swain , Dana H. Ballard, Color indexing, International Journal of Computer Vision, v.7 n.1, p.11-32, Nov. 1991 http://dx.doi.org/10.1007/BF00130487
−
1. M. J. Swain and D. H. Ballard. Color indexing. In-
 
−
ternational Journal of Computer Vision, 7:1 1991.
 
  
−
2. M. Stricker and A. Dimai. Color indexing with
+
M. Stricker and A. Dimai. Color indexing with weak spatial constraints. In Symposium on Electronic Imaging: Science and Technology - Storage fJ Retrieval/or Image and Video Databases IV, pages 29- 41. ISgcT/SPIE, 1996.
−
weak spatial constraints. In Symposium on Elec-
 
−
tronic Imaging: Science and Technology { Stor-
 
−
age & Retrieval for Image and Video Databases IV,
 
−
pages 29 - 41. IS&T/SPIE, 1996.
 
  
−
3. W. Niblack, R. Barber, W. Equitz, M. Flickner,
+
W. Niblack, R. Barber, W. Equitz, M. Flickner, E. Glasman, D. Petkovic, P. Yanker, and C. Faloutsos. The QBIC project' Querying images by content using color, texture, and shape. In Storage and Retrieval for Image and Video Databases, volume SPIE Vol. 1908, February 1993.
−
E. Glasman, D. Petkovic, P. Yanker, and C. Falout-
 
−
sos. The QBIC project: Querying images by con-
 
−
tent using color, texture, and shape. In Storage and
 
−
Retrieval for Image and Video Databases, volume
 
−
SPIE Vol. 1908, February 1993.
 
  
−
4. E. G. M. Petrakis and C. Faloutsos. Similarity
+
Euripides G. M. Petrakis , Christos Faloutsos, Similarity searching in large image database, University of Maryland at College Park, College Park, MD, 1994
−
searching in large image databases. Technical Re-
 
−
port 3388, Department of Computer Science, Uni-
 
−
versity of Maryland, 1995.
 
  
−
5. J. Hafner, H. S. Sawhney, W. Equitz, M. Flickner,
+
James Hafner , Harpreet S. Sawhney , Will Equitz , Myron Flickner , Wayne Niblack, Efficient Color Histogram Indexing for Quadratic Form Distance Functions, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.17 n.7, p.729-736, July 1995 http://dx.doi.org/10.1109/34.391417
−
and W. Niblack. E cient color histogram indexing
 
−
for quadratic form distance functions. IEEE Trans.
 
−
Pattern Anal. Machine Intell., July 1995.
 
  
−
6. S.-K. Chang, Q. Y. Shi, and C. Y. Yan. Iconic
+
S. K. Chang , Q. Y. Shi , C. W. Yan, Iconic indexing by 2-D strings, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.9 n.3, p.413-428, May 1987  http://dx.doi.org/10.1109/TPAMI.1987.4767923
−
indexing by 2-D strings. IEEE Trans. Pattern Anal.
 
−
Machine Intell., 9(3):413 { 428, May 1987.
 
  
−
7. H. Samet. The quadtree and related hierarchi-
+
Hanan Samet, The Quadtree and Related Hierarchical Data Structures, ACM Computing Surveys (CSUR), v.16 n.2, p.187-260, June 1984 [doi>10.1145/356924.356930]
−
cal data structures. ACM Computing Surveys,
 
−
16(2):187 { 260, 1984.
 
  
−
8. V. N. Gudivada and V. V. Raghavan. Design and
+
Venkat N. Gudivada , Vijay V. Raghavan, Design and evaluation of algorithms for image retrieval by spatial similarity, ACM Transactions on Information Systems (TOIS), v.13 n.2, p.115-144, April 1995 http://doi.acm.org/10.1145/201040.201041
−
evaluation of algorithms for image retrieval by spa-
 
−
tial similarity. ACM Trans. on Information Sys-
 
−
tems, 13(2), April 1995.
 
  
−
9. A. So er and H. Samet. Retrieveal by content in
+
A. Softer and H. Samet. Retrieveal by content in symbolic-image databases, in Symposium on Electronic Imaging: Science and Technology - Storage Retrieval for Image and Video Databases IV, pages 144- 155. IS&T/SPIE, 1996.
−
symbolic-image databases. In Symposium on Elec-
 
−
tronic Imaging: Science and Technology { Storage
 
−
& Retrieval for Image and Video Databases IV,
 
−
pages 144 { 155. IS&T/SPIE, 1996.
 
  
−
10. J. R. Bach, C. Fuller, A. Gupta, A. Hampapur,
+
J. R. Bach, C. Fuller, A. Gupta, A. Hampapur, B. Horowitz, R. Humphrey, R. C. Jain, and C. Shu. Virage image search engine: an open framework for image management. In Symposium on Electronic Imaging: Science and Technology - Storage fJ Retrieval/or Image and Video Databases IV, pages 76 - 87. IS&T/SPIE, 1996.
−
B. Horowitz, R. Humphrey, R. C. Jain, and C. Shu.
 
−
Virage image search engine: an open framework for
 
−
image management. In Symposium on Electronic
 
−
Imaging: Science and Technology { Storage & Re-
 
−
trieval for Image and Video Databases IV, pages 76
 
−
- 87. IS&T/SPIE, 1996
 
  
−
11. G. Pass, R. Zabih, and J. Miller. Comparing im-
+
Greg Pass , Ramin Zabih , Justin Miller, Comparing images using color coherence vectors, Proceedings of the fourth ACM international conference on Multimedia, p.65-73, November 18-22, 1996, Boston, Massachusetts, USA  http://doi.acm.org/10.1145/244130.244148
−
ages using color coherence vectors. In Proc. ACM
 
−
Intern. Conf. Multimedia, Boston, MA, 1996.
 
  
−
12. C. E. Jacobs, A. Finkelstein, and D. H. Salesin.
+
Charles E. Jacobs , Adam Finkelstein , David H. Salesin, Fast multiresolution image querying, Proceedings of the 22nd annual conference on Computer graphics and interactive techniques, p.277-286, September 1995 http://doi.acm.org/10.1145/218380.218454
−
Fast multiresolution image querying. In ACM SIG-
 
−
GRAPH, Computer Graphics Proceedings, Annual
 
−
Conference Series, pages 277 { 286, Los Angeles,
 
−
CA, 1995.
 
  
−
13. J. R. Smith and S.-F. Chang. Tools and techniques
+
J. R. Smith and S.-F. Chang. Tools and techniques for color image retrieval. In Symposium on Elecironic Imaging: Science and Technology- Storage ~ Retrieval for Image and Video Databases IV, volume 2670, San Jose, CA, February 1996. IS&T/SPIE.
−
for color image retrieval. In Symposium on Elec-
 
−
tronic Imaging: Science and Technology { Stor-
 
−
age & Retrieval for Image and Video Databases
 
−
IV, volume 2670, San Jose, CA, February 1996.
 
−
IS&T/SPIE.
 
  
−
14. J. R. Smith and S.-F. Chang. Local color and tex-
+
J. R. Smith and S.-F. Chang. Local color and texture extraction and spatial query. In Proc. Int. Conf. Image Processing, Lausanne, Switzerland, September 1996. IEEE.
−
ture extraction and spatial query. In Proc. Int.
 
−
Conf. Image Processing, Lausanne, Switzerland,
 
−
September 1996. IEEE.
 
  
−
15. S.-F. Chang. Compressed-domain techniques for
+
Shih-Fu Chang, Compressed-domain techniques for image/video indexing and manipulation, Proceedings of the 1995 International Conference on Image Processing (Vol. 1)-Volume 1, p.314, October 23-26, 1995
−
image/video indexing and manipulation. In Pro-
 
−
ceedings, I.E.E.E. International Conference on Im-
 
−
age Processing, Washington, DC, Oct. 1995. invited
 
−
paper to the special session on Digital Library and
 
−
Video on Demand.
 
  
−
16. J. R. Smith and S.-F. Chang. Searching for im-
+
J. R. Smith and S.-F. Chang. Searching for images and videos on the World-Wide Web. Technical Report CU/CTR 459~96-25, Columbia University, August 1996.
−
ages and videos on the World-Wide Web. Technical
 
−
Report CU/CTR 459-96-25, Columbia University,
 
−
August 1996.
 
−
 
 
−
17. A. Guttman. R-trees: A dynamic index structure
 
−
for spatial searching. In ACM Proc. Int. Conf.
 
−
Manag. Data (SIGMOD), pages 47 { 57, June 1984.
 
−
 
 
−
18. S.-K. Chang. Principles of Pictorial Information
 
−
Systems Design. Prentice Hall, 1989.
 
  
 +
Antonin Guttman, R-trees: a dynamic index structure for spatial searching, Proceedings of the 1984 ACM SIGMOD international conference on Management of data, June 18-21, 1984, Boston, Massachusetts  http://doi.acm.org/10.1145/602259.602266
  
 +
Shi-Kuo Chang, Principles of pictorial information systems design, Prentice-Hall, Inc., Upper Saddle River, NJ, 1989
  
 
== Links ==
 
== Links ==

Aktuelle Version vom 8. November 2014, 22:11 Uhr

Reference

Smith, J., Chang, S.F. (1996). Visualseek: a fully automated content-based image query system. In: Proc. ACM-MM, 87–98.

DOI

http://dx.doi.org/10.1145/244130.244151

Abstract

We describe a highly functional prototype system for searching by visual features in an image database. The VisualSEEk system is novel in that the user forms the queries by diagramming spatial arrangements of color regions. The system nds the images that contain the most similar arrangements of similar regions. Prior to the queries, the system automatically extracts and in- dexes salient color regions from the images. By utilizing e cient indexing techniques for color information, re- gion sizes and absolute and relative spatial locations, a wide variety of complex joint color/spatial queries may be computed.

Extended Abstract

Bibtex

Michael J. Swain , Dana H. Ballard, Color indexing, International Journal of Computer Vision, v.7 n.1, p.11-32, Nov. 1991 http://dx.doi.org/10.1007/BF00130487

M. Stricker and A. Dimai. Color indexing with weak spatial constraints. In Symposium on Electronic Imaging: Science and Technology - Storage fJ Retrieval/or Image and Video Databases IV, pages 29- 41. ISgcT/SPIE, 1996.

W. Niblack, R. Barber, W. Equitz, M. Flickner, E. Glasman, D. Petkovic, P. Yanker, and C. Faloutsos. The QBIC project' Querying images by content using color, texture, and shape. In Storage and Retrieval for Image and Video Databases, volume SPIE Vol. 1908, February 1993.

Euripides G. M. Petrakis , Christos Faloutsos, Similarity searching in large image database, University of Maryland at College Park, College Park, MD, 1994

James Hafner , Harpreet S. Sawhney , Will Equitz , Myron Flickner , Wayne Niblack, Efficient Color Histogram Indexing for Quadratic Form Distance Functions, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.17 n.7, p.729-736, July 1995 http://dx.doi.org/10.1109/34.391417

S. K. Chang , Q. Y. Shi , C. W. Yan, Iconic indexing by 2-D strings, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.9 n.3, p.413-428, May 1987 http://dx.doi.org/10.1109/TPAMI.1987.4767923

Hanan Samet, The Quadtree and Related Hierarchical Data Structures, ACM Computing Surveys (CSUR), v.16 n.2, p.187-260, June 1984 [doi>10.1145/356924.356930]

Venkat N. Gudivada , Vijay V. Raghavan, Design and evaluation of algorithms for image retrieval by spatial similarity, ACM Transactions on Information Systems (TOIS), v.13 n.2, p.115-144, April 1995 http://doi.acm.org/10.1145/201040.201041

A. Softer and H. Samet. Retrieveal by content in symbolic-image databases, in Symposium on Electronic Imaging: Science and Technology - Storage Retrieval for Image and Video Databases IV, pages 144- 155. IS&T/SPIE, 1996.

J. R. Bach, C. Fuller, A. Gupta, A. Hampapur, B. Horowitz, R. Humphrey, R. C. Jain, and C. Shu. Virage image search engine: an open framework for image management. In Symposium on Electronic Imaging: Science and Technology - Storage fJ Retrieval/or Image and Video Databases IV, pages 76 - 87. IS&T/SPIE, 1996.

Greg Pass , Ramin Zabih , Justin Miller, Comparing images using color coherence vectors, Proceedings of the fourth ACM international conference on Multimedia, p.65-73, November 18-22, 1996, Boston, Massachusetts, USA http://doi.acm.org/10.1145/244130.244148

Charles E. Jacobs , Adam Finkelstein , David H. Salesin, Fast multiresolution image querying, Proceedings of the 22nd annual conference on Computer graphics and interactive techniques, p.277-286, September 1995 http://doi.acm.org/10.1145/218380.218454

J. R. Smith and S.-F. Chang. Tools and techniques for color image retrieval. In Symposium on Elecironic Imaging: Science and Technology- Storage ~ Retrieval for Image and Video Databases IV, volume 2670, San Jose, CA, February 1996. IS&T/SPIE.

J. R. Smith and S.-F. Chang. Local color and texture extraction and spatial query. In Proc. Int. Conf. Image Processing, Lausanne, Switzerland, September 1996. IEEE.

Shih-Fu Chang, Compressed-domain techniques for image/video indexing and manipulation, Proceedings of the 1995 International Conference on Image Processing (Vol. 1)-Volume 1, p.314, October 23-26, 1995

J. R. Smith and S.-F. Chang. Searching for images and videos on the World-Wide Web. Technical Report CU/CTR 459~96-25, Columbia University, August 1996.

Antonin Guttman, R-trees: a dynamic index structure for spatial searching, Proceedings of the 1984 ACM SIGMOD international conference on Management of data, June 18-21, 1984, Boston, Massachusetts http://doi.acm.org/10.1145/602259.602266

Shi-Kuo Chang, Principles of pictorial information systems design, Prentice-Hall, Inc., Upper Saddle River, NJ, 1989

Links

Full Text

http://citeseer.ist.psu.edu/viewdoc/download?doi=10.1.1.45.884&rep=rep1&type=pdf

intern file

Sonstige Links

http://citeseer.ist.psu.edu/viewdoc/summary?doi=10.1.1.45.884

Abgerufen von „http://de.evo-art.org/index.php?title=Visualseek:_a_fully_automated_content-based_image_query_system&oldid=1068“