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Shumeet Baluja

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Shumeet Baluja

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Publications by Shumeet Baluja (bibliography)

» 2009 «

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Gossweiler, Rich, Kamvar, Maryam and Baluja, Shumeet (2009): What's up CAPTCHA?: a CAPTCHA based on image orientation. In: Proceedings of the 2009 International Conference on the World Wide Web 2009. pp. 841-850. Available online

“We present a new CAPTCHA which is based on identifying an image's upright orientation. This task requires analysis of the often complex contents of an image, a task which humans usually perform well and machines generally do not. Given a large repository of images, such as those from a web search result, we use a suite of automated orientation detectors to prune those images that can be automatically set upright easily. We then apply a social feedback mechanism to verify that the remaining images have a human-recognizable upright orientation. The main advantages of our CAPTCHA technique over the traditional text recognition techniques are that it is language-independent, does not require text-entry (e.g. for a mobile device), and employs another domain for CAPTCHA generation beyond character obfuscation. This CAPTCHA lends itself to rapid implementation and has an almost limitless supply of images. We conducted extensive experiments to measure the viability of this technique.”

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» 2008 «

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Kamvar, Maryam and Baluja, Shumeet (2008): Query suggestions for mobile search: understanding usage patterns. In: Proceedings of ACM CHI 2008 Conference on Human Factors in Computing Systems April 5-10, 2008. pp. 1013-1016. Available online

“Entering search terms on mobile phones is a time consuming and cumbersome task. In this paper, we explore the usage patterns of query entry interfaces that display suggestions. Our primary goal is to build a usage model of query suggestions in order to provide user interface guidelines for mobile text prediction interfaces. We find that users who were asked to enter queries on a search interface with query suggestions rated their workload lower and their enjoyment higher. They also saved, on average, approximately half of the key presses compared to users who were not shown suggestions, despite no associated decrease in time to enter a query. Surprisingly, users also accepted suggestions when the process of doing so resulted in an increase in the number of total key presses.”

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Jing, Yushi and Baluja, Shumeet (2008): Pagerank for product image search. In: Proceedings of the 2008 International Conference on the World Wide Web 2008. pp. 307-316. Available online

“In this paper, we cast the image-ranking problem into the task of identifying "authority" nodes on an inferred visual similarity graph and propose an algorithm to analyze the visual link structure that can be created among a group of images. Through an iterative procedure based on the PageRank computation, a numerical weight is assigned to each image; this measures its relative importance to the other images being considered. The incorporation of visual signals in this process differs from the majority of large-scale commercial-search engines in use today. Commercial search-engines often solely rely on the text clues of the pages in which images are embedded to rank images, and often entirely ignore the content of the images themselves as a ranking signal. To quantify the performance of our approach in a real-world system, we conducted a series of experiments based on the task of retrieving images for 2000 of the most popular products queries. Our experimental results show significant improvement, in terms of user satisfaction and relevancy, in comparison to the most recent Google Image Search results.”

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Baluja, Shumeet, Seth, Rohan, Sivakumar, D., Jing, Yushi, Yagnik, Jay, Kumar, Shankar, Ravichandran, Deepak and Aly, Mohamed (2008): Video suggestion and discovery for youtube: taking random walks through the view graph. In: Proceedings of the 2008 International Conference on the World Wide Web 2008. pp. 895-904. Available online

“The rapid growth of the number of videos in YouTube provides enormous potential for users to find content of interest to them. Unfortunately, given the difficulty of searching videos, the size of the video repository also makes the discovery of new content a daunting task. In this paper, we present a novel method based upon the analysis of the entire user-video graph to provide personalized video suggestions for users. The resulting algorithm, termed Adsorption, provides a simple method to efficiently propagate preference information through a variety of graphs. We extensively test the results of the recommendations on a three month snapshot of live data from YouTube.”

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» 2007 «

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Kamvar, Maryam and Baluja, Shumeet (2007): The role of context in query input: using contextual signals to complete queries on mobile devices. In: Cheok, Adrian David and Chittaro, Luca (eds.) Proceedings of the 9th Conference on Human-Computer Interaction with Mobile Devices and Services - Mobile HCI 2007 September 9-12, 2007, Singapore. pp. 405-412. Available online

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Kamvar, Maryam and Baluja, Shumeet (2007): Deciphering Trends in Mobile Search. In IEEE Computer, 40 (8) pp. 58-62

» 2006 «

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Kamvar, Maryam and Baluja, Shumeet (2006): A large scale study of wireless search behavior: Google mobile search. In: Proceedings of ACM CHI 2006 Conference on Human Factors in Computing Systems 2006. pp. 701-709. Available online

“We present a large scale study of search patterns on Google's mobile search interface. Our goal is to understand the current state of wireless search by analyzing over 1 Million hits to Google's mobile search sites. Our study also includes the examination of search queries and the general categories under which they fall. We follow users throughout multiple interactions to determine search behavior; we estimate how long they spend inputting a query, viewing the search results, and how often they click on a search result. We also compare and contrast search patterns between 12-key keypad phones (cellphones), phones with QWERTY keyboards (PDAs) and conventional computers.”

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Covell, Michele, Baluja, Shumeet and Fink, Michael (2006): Detecting Ads in Video Streams Using Acoustic and Visual Cues. In IEEE Computer, 39 (12) pp. 135-137

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Baluja, Shumeet (2006): Browsing on small screens: recasting web-page segmentation into an efficient machine learning framework. In: Proceedings of the 2006 International Conference on the World Wide Web 2006. pp. 33-42. Available online

“Fitting enough information from webpages to make browsing on small screens compelling is a challenging task. One approach is to present the user with a thumbnail image of the full web page and allow the user to simply press a single key to zoom into a region (which may then be transcoded into wml/xhtml, summarized, etc). However, if regions for zooming are presented naively, this yields a frustrating experience because of the number of coherent regions, sentences, images, and words that may be inadvertently separated. Here, we cast the web page segmentation problem into a machine learning framework, where we re-examine this task through the lens of entropy reduction and decision tree learning. This yields an efficient and effective page segmentation algorithm. We demonstrate how simple techniques from computer vision can be used to fine-tune the results. The resulting segmentation keeps coherent regions together when tested on a broad set of complex webpages.”

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Rowley, Henry A., Jing, Yushi and Baluja, Shumeet (2006): Large scale image-based adult-content filtering. In: Ranchordas, Alpesh, Araújo, Helder and Encarnação, Bruno (eds.) VISAPP 2006 - Proceedings of the First International Conference on Computer Vision Theory and Applications - 2 Volumes 2006, Setúbal, Portugal. pp. 290-296.

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Changes to this page (author)

11 Feb 2010: Enabled abstracts to be shown on Shumeet Baluja's author page.
24 Aug 2009: Author was edited

09 Jul 2009: Author was edited
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12 May 2008: Author was edited
19 Jun 2007: Author was added to the bibliography

Publication statistics

Publication period:2006-2009
Publication count:10
Number of co-authors:12

Productive colleagues

Shumeet Baluja's 3 most productive colleagues in number of publications:

Rich Gossweiler:7
Maryam Kamvar:6
D. Sivakumar:5

Collaboration count

Number of publications with 3 favourite co-authors:

Maryam Kamvar:5
Yushi Jing:3
Deepak Ravichandran:1

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Conference Calendar

Mar 22

Workshop on Pervasive healthcare in the home : Supporting patient motivation and engagement

Mar 22

UX People

Mar 22

ETRA '10 - Eye Tracking Research & Applications Symp.

Mar 21

“ Software design is the act of determining the user's experience with a piece of software. It has nothing to do with how the code works inside, or how big or small the code is. The designer's task is to specify completely and unambiguously the user's whole experience. ”

-- David Liddle, From Bringing Design to Software, edited by Terry Winograd, 1996 ”

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