@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},
	biburl = {http://www.bibsonomy.org/bibtex/21a49f507add97bccb7c2daea613c4536/marcoalvarez},
	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 }
}