| Authors: |
Ritendra Datta
and Dhiraj Joshi
and Jia Li
and James Z. Wang
|
| URL: |
http://infolab.stanford.edu/~wangz/project/imsearch/review/JOUR/ |
| Description: |
Content Based Image Retrieval CBIR Survey Paper - 2008 |
| Tags: |
images
ir
retrieval
survey
|
| 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 paper, we survey almost 300 key theoretical and empirical contributions in the current decade related to image retrieval and automatic image annotation, and discuss the spawning of related sub-fields in the process. 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. |
@article{datta2008,
title = {Image Retrieval: Ideas, Influences, and Trends of the New Age},
author = {Ritendra Datta and Dhiraj Joshi and Jia Li and James Z. Wang},
journal = {ACM Computing Surveys},
number = {2},
url = {http://infolab.stanford.edu/~wangz/project/imsearch/review/JOUR/},
volume = {40},
year = {2008},
description = {Content Based Image Retrieval CBIR Survey Paper - 2008},
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 paper, we survey almost 300 key theoretical and empirical contributions in the current decade related to image retrieval and automatic image annotation, and discuss the spawning of related sub-fields in the process. 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.},
keywords = {images ir retrieval survey }
}
::