@inproceedings{Wang2007,
title = {Image annotation in a progressive way},
author = {Bin Wang and Zhiwei Li and Nenghai Yu and Mingjing Li},
booktitle = {IEEE International Conference on Multimedia and Expo},
month = {July},
pages = {811--814},
url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?isnumber=4284553&arnumber=4284774},
year = {2007},
abstract = {Automatic image annotation is crucial for keyword-based image retrieval
because it can be used to improve the textual description of images
efficiently. For this purpose, many methods have been developed.
Due to the restrictions of computational complexity and small training
set, the image annotation methods are usually based on the probability
of individual word, instead of the joint probability of a set of
words. Therefore the correlation between words is omitted. In this
paper, we propose a method to approximate the joint probability of
words in a progressive way. Given an image, the word with highest
probability is first annotated. Then, the successive words are annotated
by incorporating the information of previously annotated words. It
can be seen as a "greedy" algorithm to calculate the joint probability
of multiple words. The experiments show that the proposed progressive
annotation method can effectively improve the annotation performance.},
timestamp = {2007.09.26}, owner = {Marco},
keywords = {ImageAnnotation }
}
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