Name
Abstract | ||
|---|---|---|
We have witnessed great interest and a wealth of promise in content-based image retrieval as an emerging technology. While the last decade laid foundation to such promise, it also paved the way for a large number of new techniques and systems, got many new people involved, and triggered stronger association of weakly related fields. In this article, we survey almost 300 key theoretical and empirical contributions in the current decade related to image retrieval and automatic image annotation, and in the process discuss the spawning of related subfields. We also discuss significant challenges involved in the adaptation of existing image retrieval techniques to build systems that can be useful in the real world. In retrospect of what has been achieved so far, we also conjecture what the future may hold for image retrieval research. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1145/1348246.1348248 | ACM Comput. Surv. |
Keywords | Field | DocType |
weakly related field,additional key words and phrases: content-based image retrieval,tagging,image retrieval technique,automatic image annotation,learning,last decade,annotation,related subfields,modeling,new age,image retrieval,content-based image retrieval,image retrieval research,current decade,new people,emerging technology | Data mining,Annotation,Automatic image annotation,Information retrieval,Computer science,Image retrieval,Emerging technologies,Content based retrieval,Parsing,Documentation,Content-based image retrieval | Journal |
Volume | Issue | ISSN |
40 | 2 | 0360-0300 |
Citations | PageRank | References |
1512 | 55.80 | 248 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ritendra Datta | 1 | 2526 | 104.69 |
| Dhiraj Joshi | 2 | 2719 | 122.87 |
| Jia Li | 3 | 12743 | 658.57 |
| James Z. Wang | 4 | 7526 | 403.00 |