Name
Abstract | ||
|---|---|---|
In this paper, we present the design and implementation of a content-based retrieval system which achieves efficient and effective similar shape retrieval using a modified geometric hashing technique. The system contains four main components: a feature acquisition module, a query manager, a search engine, and a hash table. The hash table houses the feature information. The query manager accepts the user query and extracts contours from the query image. The feature acquisition module transforms and quantizes the image contours and formulates the hash table entries. Given a visual query, the search agent derives a list of potentially similar shape images by searching the hash table using a majority voting algorithm. Extensive experiments have been conducted to demonstrate that the proposed designs offer a viable and practical approach to similar shape retrieval. |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1109/MMCS.1999.779317 | ICMCS, Vol. 1 |
Keywords | Field | DocType |
query manager,query image,visual query,content-based retrieval system,hash table,hash table house,feature acquisition module,effective similar shape retrieval,similar shape retrieval,user query,hash table entry,search engine,feature extraction,image retrieval,shape,edge detection,architecture,search engines,data mining,information retrieval | Data mining,Query language,Query expansion,Information retrieval,Computer science,Feature hashing,Hash function,Geometric hashing,Concept search,Visual Word,Hash table | Conference |
ISBN | Citations | PageRank |
0-7695-0253-9 | 3 | 0.40 |
References | Authors | |
1 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jia Wang | 1 | 3322 | 301.29 |
| Wendy Chang | 2 | 3 | 0.40 |
| Raj Acharya | 3 | 347 | 55.42 |