2014 MiningTextSnippetsforImagesonth

• (Kannan et al., 2014) ⇒ Anitha Kannan, Simon Baker, Krishnan Ramnath, Juliet Fiss, Dahua Lin, Lucy Vanderwende, Rizwan Ansary, Ashish Kapoor, Qifa Ke, Matt Uyttendaele, Xin-Jing Wang, and Lei Zhang. (2014). “Mining Text Snippets for Images on the Web.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623346

Subject Headings:

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• http://scholar.google.com/scholar?q=%222014%22+Mining+Text+Snippets+for+Images+on+the+Web
• http://dl.acm.org/citation.cfm?id=2623330.2623346&preflayout=flat#citedby

Quotes

Author Keywords

• Browsing; diversity; image databases; interestingness; relevance; semantic image browsing; text mining for images; text snippets; web image augmentation

Abstract

Images are often used to convey many different concepts or illustrate many different stories. We propose an algorithm to mine multiple diverse, relevant, and interesting text snippets for images on the web. Our algorithm scales to all images on the web. For each image, all webpages that contain it are considered. The top-K text snippet selection problem is posed as combinatorial subset selection with the goal of choosing an optimal set of snippets that maximizes a combination of relevancy, interestingness, and diversity. The relevancy and interestingness are scored by machine learned models. Our algorithm is run at scale on the entire image index of a major search engine resulting in the construction of a database of images with their corresponding text snippets. We validate the quality of the database through a large-scale comparative study. We showcase the utility of the database through two web-scale applications: (a) augmentation of images on the web as webpages are browsed and (b) ~an image browsing experience (similar in spirit to web browsing) that is enabled by interconnecting semantically related images (which may not be visually related) through shared concepts in their corresponding text snippets.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2014 MiningTextSnippetsforImagesonth	Lei Zhang Lucy Vanderwende Anitha Kannan Ashish Kapoor Simon Baker Krishnan Ramnath Juliet Fiss Dahua Lin Rizwan Ansary Qifa Ke Matt Uyttendaele Xin-Jing Wang			Mining Text Snippets for Images on the Web				10.1145/2623330.2623346		2014