DocumentCode :
248816
Title :
Scene-based automatic image annotation
Author :
Tariq, A. ; Foroosh, H.
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Univ. of Central Florida, Orlando, FL, USA
fYear :
2014
fDate :
27-30 Oct. 2014
Firstpage :
3047
Lastpage :
3051
Abstract :
Image search and retrieval systems depend heavily on availability of descriptive textual annotations with images, to match them with textual queries of users. In most cases, such systems have to rely on users to provide tags or keywords with images. Users may add insufficient or noisy tags. A system to automatically generate descriptive tags for images can be extremely helpful for search and retrieval systems. Automatic image annotation has been explored widely in both image and text processing research communities. In this paper, we present a novel approach to tackle this problem by incorporating contextual information provided by scene analysis of image. Image can be represented by features which indicate type of scene shown in the image, instead of representing individual objects or local characteristics of that image. We have used such features to provide context in the process of predicting tags for images.
Keywords :
image retrieval; automatic image annotation; contextual information; descriptive tags; descriptive textual annotations; image retrieval systems; image search systems; textual queries; Computational modeling; Computer vision; Context; Estimation; Training; Training data; Visualization; Context-based annotation; Image annotation; Information extraction; Scene understanding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
Type :
conf
DOI :
10.1109/ICIP.2014.7025616
Filename :
7025616
Link To Document :
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