Ebrahim Bagheri – Publication Page

Overview of Text Annotation with Pictures

Kent Poots and Ebrahim Bagheri
Reference:
Kent Poots and Ebrahim Bagheri Overview of Text Annotation with Pictures. In IEEE IT Professional, 2016.
Links to Publication: [www]
Abstract:
The vast array of information available on the Web makes it a challenge for readers to quickly browse through and decide about the importance and relevance of content. Interpreting large-volumes of data is particularly demanding for users with handheld devices in the social media and micro-blogging sphere. Various approaches address this challenge through text summarization, content ranking and personalized recommendation. We describe a family of techniques that help users understand text by automatically annotating text with pictures, referred to as text picturing . The objective is to find a set of pictures that cover the main concepts in a textual snippet. We provide an overview of text picturing, its constituent steps such as knowledge extraction, map ping, scene rendering, as well as application areas. We give a picturing-related literature overview, and list use-cases that offer IT professionals insight into how picturing techniques can be successfully incorporated into real world applications.
Bibtex Entry:
@article{itpro2016, author = {Kent Poots and Ebrahim Bagheri}, title = {Overview of Text Annotation with Pictures}, journal = {IEEE IT Professional}, year = {2016}, url = {http://www.computer.org/web/computingnow/itpro}, abstract = {The vast array of information available on the Web makes it a challenge for readers to quickly browse through and decide about the importance and relevance of content. Interpreting large-volumes of data is particularly demanding for users with handheld devices in the social media and micro-blogging sphere. Various approaches address this challenge through text summarization, content ranking and personalized recommendation. We describe a family of techniques that help users understand text by automatically annotating text with pictures, referred to as text picturing . The objective is to find a set of pictures that cover the main concepts in a textual snippet. We provide an overview of text picturing, its constituent steps such as knowledge extraction, map ping, scene rendering, as well as application areas. We give a picturing-related literature overview, and list use-cases that offer IT professionals insight into how picturing techniques can be successfully incorporated into real world applications.} }




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