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  1. Proceedings of the international workshop on Very-large-scale multimedia corpus, mining and retrieval (VLS-MCMR '10)
  2. Automatic image annotation by using relevant keywords extracted from auxiliary text documents
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Incremental multi-classifier learning algorithm on grid'5000 for large scale image annotation
Commercial film detection and identification based on a dual-stage temporal recurrence hashing algorithm
Towards extensible automatic image annotation with the bag-of-words approach
Automatic image annotation by using relevant keywords extracted from auxiliary text documents
A large-scale performance study of cluster-based high-dimensional indexing
An analysis of user behavior in online video streaming
A deep-learning model-based and data-driven hybrid architecture for image annotation
Optimizing similarity-based image joins in a multimedia database
Weighting informativeness of bag-of-visual-words by kernel optimization for video concept detection
Concept detector refinement using social videos

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Automatic image annotation by using relevant keywords extracted from auxiliary text documents

Content Provider ACM Digital Library
Author Zhou, Ning Fan, Jianping Shen, Yi
Abstract In this paper, a novel algorithm is developed to enable automatic image annotation by aligning web images with their most relevant auxiliary text terms. First, large-scale web pages are crawled and automatic web page segmentation is performed to extract informative images and their most relevant auxiliary text blocks. Second, image clustering is performed to partition the web images into a set of image clusters according to their visual similarity contexts. By grouping the web images according to their common visual properties, the uncertainty of the relatedness between the web images and their auxiliary text terms is significantly reduced. Finally, a relevance re-ranking algorithm is developed to achieve more precise alignment between the web images with their most relevant auxiliary text terms. Our experiments on large-scale web pages have provided very positive results.
Starting Page 7
Ending Page 12
Page Count 6
File Format PDF
ISBN 9781450301664
DOI 10.1145/1878137.1878140
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2010-10-29
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Automatic image-text alignment Relevance re-ranking
Content Type Text
Resource Type Article
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