Title

Scene-Based Automatic Image Annotation

Keywords

Context-based annotation; Image annotation; Information extraction; Scene understanding

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.

Publication Date

1-28-2014

Publication Title

2014 IEEE International Conference on Image Processing, ICIP 2014

Number of Pages

3047-3051

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/ICIP.2014.7025616

Socpus ID

84949927385 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84949927385

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