Enhancing browsing experience of table and image elements in web pages
Authors: 
Wenchang Xu, Xin Yang, Yuanchun ShiAuthors Info & Claims
Article No.: 24, Pages 1 - 8
Abstract
As the popularity and diversification of both Internet and its access devices, users' browsing experience of web pages is in great need of improvement. Traditional browsing mode of web elements such as table and image is passive, which limits users' browsing efficiency of web pages. In this paper, we propose to enhance browsing experience of table and image elements in web pages by enabling real-time interactive access to web tables and images. We design new browsing modes that help users improve their browsing efficiency including operation mode, record mode for web tables and normal mode, starred mode, advanced mode for web images. We design and implement a plug-in for Microsoft Internet Explorer, called iWebWidget, which provides a customized user interface supporting real-time interactive access to web tables and images. Besides, we carry out a user study to testify the usefulness of iWebWidget. Experimental results show that users are satisfied and really enjoy the new browsing modes for both web tables and images.
References
[1]
BHO (Browser Helper Object). http://msdn.microsoft.com/zh-cn/library/aa753587%28en-us,VS.85%29.aspx.
[2]
Bigham, J. P., Kaminsky, R. S., Ladner, R. E., Danielsson, O. M., and Hempton, G. L. WebInSight: Making Web Images Accessible. In proceedings of the 8th International ACM SIGACCESS Conference on Computers and Accessibility, 181--188.
[3]
Boykov, Y. Y., and Jolly, M. P. Interactive Graph Cuts for Optimal Boundary & Region Segmentation of Objects in ND Images. In proceedings of IEEE Int. Conf. on Computer Vision 2001, CD-ROM.
[4]
Chakrabarti, S., Joshi, M., and Tawde V. Enhanced Topic Distillation using Text, Markup Tags, and Hyperlinks. In proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval 2001, 208--216.
[5]
Chen, T., Cheng, M., Tan, P., Shamir, A., and Hu, S. Sketch2Photo: Internet Image Montage. In proceedings of SIGGRAPH ASIA 2009, 124--133.
[6]
Gaterbauer, W., Bohunsky, P., Herzog, M., Krüpl, B., Pollak, B. Towards Domain-Independent Information Extraction from Web Tables. In 16th International Conference on World Wide Web (WWW'07), 71--80.
[7]
Hassan, T., Baumgartner, R. Table Recognition and Understanding from PDF Files. In 9th International Conference on Document Analysis and Recognition (ICDAR'07), 1143--1147.
[8]
Henzinger, M. R. Hyperlink Analysis for the Web. IEEE Internet Computing, 2001.
[9]
https://addons.mozilla.org/zh-CN/firefox
[10]
https://chrome.google.com/extensions
[11]
Hurst, M. Classifying TABLE Elements in HTML. In 11th International Conference on World Wide Web (WWW'02), Poster Paper.
[12]
Krüpl, B., Herzog, M. Visually Guided Bottom-Up Table Detection and Segmentation in Web Documents. In 15th International Conference on World Wide Web (WWW'06), 933--934.
[13]
Lim, S. J., Ng, Y. K. An Automated Approach for Retrieving Hierarchical Data from HTML Tables. In 8th ACM International Conference on Information and Knowledge Management (CIKM'99), 466--474.
[14]
Liu, H., Xie, X., Tang, X., Li, Z. W., and Ma, W. Y. Effective Browsing of Web Image Search Results. In proceedings of the 6th ACM SIGMM International Workshop on Multimedia Information Retrieval, 84--90.
[15]
Liu, Y., Bai, K., Mitra, P., Giles, C. L. Automatic Searching of Tables in Digital Libraries. In 16th International Conference on World Wide Web (WWW'07), 1135--1136.
[16]
Maekawa, T., Hara, T., and Nishio, S. Image Classification for Mobile Web Browsing. In proceedings of the 15th International Conference on World Wide Web, 43--52.
[17]
Pinto, D., McCallum, A., Wei, X., Croft, W. B. Table Extraction Using Conditional Random Fields. In 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'03), 235--242.
[18]
Ramel, J. Y., Crucianu, M., Vincent, N., Faure, C. Detection, Extraction and Representation of Tables. In 7th International Conference on Document Analysis and Recognition (ICDAR'03), 374--378.
[19]
Rother, C., Kolmogorov, V., and Blake, A. "GrabCut"-Interactive Foreground Extraction using Iterated Graph Cuts. In proceedings of SIGGRAPH 2004.
[20]
Schmiedl, G., Seidl, M., and Temper, K. Mobile Phone Web Browsing -- A Study on Usage and Usability of the Mobile Web. In proceedings of Mobile HCI 2009, 341--342.
[21]
TableTools. https://addons.mozilla.org/zh-CN/firefox/addon/2637?src=reco
[22]
Tajima, K., and Ohnishi, K. Browsing Large HTML Tables on Small Screens. In proceedings of UIST 2008, 259--268.
[23]
Wang. Y. L., Hu, J. Y. A Machine Learning Based Approach for Table Detection on the Web. In 11th International Conference on World Wide Web (WWW'02), 242--250.
[24]
Xu, W., Yang, X., and Shi, Y. A New Mode of Browsing Web Tables on Small Screens. In proceedings of UCS 2009.
[25]
Yang, X., Xu, W., and Shi, Y. Enabling Interactive Access to Web Tables. In proceedings of HCII 2009, 760--768.
[26]
Yang, Y. C., Luk, W. S. A Framework for Web Table Mining. In 4th ACM CIKM International Workshop on Web Information and Data Management (WIDM'02), 36--42.
[27]
Yoshida, M., Torisawa, K., Tsujii, J. A Method to Integrate Tables of the World Wide Web. In 1st International Workshop on Web Document Analysis (WDA'01), 31--34.
[28]
Zhou, D., Chander, A., and Inamura, H. Optimizing User Interaction for Mobile Web Browsing. In proceedings of Mobile HCI 2009, 167--168.
Index Terms
- Enhancing browsing experience of table and image elements in web pages
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Information
Published In
November 2010
311 pages
ISBN:9781450304146
DOI:10.1145/1891903
- General Chairs:
- Wen Gao,
- Chin-Hui Lee,
- Jie Yang,
- Program Chairs:
- Xilin Chen,
- Maxine Eskenazi,
- Zhengyou Zhang
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Published: 08 November 2010
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ICMI-MLMI '10
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ICMI-MLMI '10: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERFACES/WORKSHOP ON MACHINE LEARNING FOR MULTIMODAL INTERFACES
November 8 - 10, 2010
Beijing, China
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ICMI-MLMI '10 Paper Acceptance Rate 41 of 100 submissions, 41%;
Overall Acceptance Rate 453 of 1,080 submissions, 42%
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