A conceptual framework and empirical research for classifying visual descriptors

Journal of the American Society for Information Science and Technology

Volumn 52, Issue 11, 2001, Pages 938-947

  Jörgensen, Corinne ^a   Jaimes, Alejandro ^b   Benitez, Ana B ^b   Chang, Shih Fu ^b  

^a UNIVERSITY AT BUFFALO   (United States)

^b Fu Foundation School of Engineering and Applied Science   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONTENT BASED RETRIEVAL; IMAGE ANALYSIS; INDEXING (OF INFORMATION); INFORMATION RETRIEVAL SYSTEMS; METADATA; SEMANTICS; WORLD WIDE WEB;

VISUAL DESCRIPTORS;

CLASSIFICATION (OF INFORMATION);

EID: 0035447998     PISSN: 15322882     EISSN: None     Source Type: Journal    
DOI: 10.1002/asi.1161     Document Type: Article

References (34)

1. What some concepts might not be
2. Perceived similarity in perceptual and conceptual development: The influence of category information on perceptual organization
3. Visual information retrieval from large distributed on-line repositories
4. A prototype item-level index to the civil war photographic collection of the Ohio Historical Society
5. Query analysis in a visual information retrieval context
6. Challenges in indexing electronic text and images
7. Getty vocabulary program
8. A conceptual framework for indexing visual information at multiple levels
9. Classifying images: Criteria for grouping as revealed in a sorting task
10. Testing an image description template
11. Image attributes in describing tasks: An investigation
12. Retrieving the unretrievable: Art, aesthetics, and emotion in image retrieval systems
13. Image indexing: An analysis of selected classification systems in relation to image attributes named by naive users
14. Creating a web-based image database for benchmarking image retrieval systems: A progress report
15. A classification of visual representation
16. Converging operations on a basic level in event taxonomies
17. Indexing images
18. Family resemblances: Studies in the internal structure of categories
19. Analyzing the subject of a picture: A theoretical approach
20. Some issues in the indexing of images
21. Features of similarity