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Spring 2014 term begins; teaching CS 4464/6465 (Computational Journalism) and CS 4001 (Computerization and Society)

January 6th, 2014 Irfan Essa Posted in IROS/ICRA, ISWC, PAMI/ICCV/CVPR/ECCV No Comments »

Welcome to Spring 2014 term.  Happy 2014 to all.  This term I am teaching CS 4464/6465 (Computational Journalism) and CS 4001 (Computerization and Society) at Georgia Tech.  Following links provide more information on both these classes.

  • CS 4464 / CS 6465 Computational Journalism: This class is aimed at understanding the computational and technological advancements in the area of journalism. Primary focus is on the study of technologies for developing new tools for (a) sense-making from diverse news information sources, (b) the impact of more and cheaper networked sensors (c) collaborative human models for information aggregation and sense-making, (d) mashups and the use of programming in journalism, (e) the impact of mobile computing and data gathering, (f) computational approaches to information quality, (g) data mining for personalization and aggregation, and (h) citizen journalism.
  • CS 4001 Computerization and Society: Although Computing, Society and Professionalism is a required course for CS majors, it is not a typical computer science course. Rather than dealing with the technical content of computing, it addresses the effects of computing on individuals, organizations, and society, and on what your responsibilities are as a computing professional in light of those impacts. The topic is a very broad one and one that you will have to deal with almost every day of your professional life. The issues are sometimes as intellectually deep as some of the greatest philosophical writings in history – and sometimes as shallow as a report on the evening TV news. This course can do little more than introduce you to the topics, but, if successful, will change the way you view the technology with which you work. You will do a lot of reading, analyzing, and communicating (verbally and in writing) in this course. It will require your active participation throughout the semester and should be fun and enlightening.
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Paper in ACM Ubicomp 2013 “Technological approaches for addressing privacy concerns when recognizing eating behaviors with wearable cameras”

September 14th, 2013 Irfan Essa Posted in Activity Recognition, Computational Photography and Video, Edison Thomaz, Gregory Abowd, ISWC, Mobile Computing, Papers, Ubiquitous Computing No Comments »

  • E. Thomaz, A. Parnami, J. Bidwell, I. Essa, and G. D. Abowd (2013), “Technological Approaches for Addressing Privacy Concerns when Recognizing Eating Behaviors with Wearable Cameras.,” in Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp ’13), 2013. [PDF] [DOI] [BIBTEX]
    @inproceedings{2013-Thomaz-TAAPCWREBWWC,
      Author = {Edison Thomaz and Aman Parnami and Jonathan Bidwell and Irfan Essa and Gregory D. Abowd},
      Booktitle = {{Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '13)}},
      Date-Added = {2013-10-22 18:31:23 +0000},
      Date-Modified = {2014-04-28 17:07:56 +0000},
      Doi = {10.1145/2493432.2493509},
      Pdf = {http://www.cc.gatech.edu/~irfan/p/2013-Thomaz-TAAPCWREBWWC.pdf},
      Title = {Technological Approaches for Addressing Privacy Concerns when Recognizing Eating Behaviors with Wearable Cameras.},
      Year = {2013},
      Bdsk-Url-1 = {http://dx.doi.org/10.1145/2493432.2493509}}

 Abstract

First-person point-of-view (FPPOV) images taken by wearable cameras can be used to better understand people’s eating habits. Human computation is a way to provide effective analysis of FPPOV images in cases where algorithmic approaches currently fail. However, privacy is a serious concern. We provide a framework, the privacy-saliency matrix, for understanding the balance between the eating information in an image and its potential privacy concerns. Using data gathered by 5 participants wearing a lanyard-mounted smartphone, we show how the framework can be used to quantitatively assess the effectiveness of four automated techniques (face detection, image cropping, location filtering and motion filtering) at reducing the privacy-infringing content of images while still maintaining evidence of eating behaviors throughout the day.

via ACM DL Technological approaches for addressing privacy concerns when recognizing eating behaviors with wearable cameras.

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Paper: ISWC (2008) “Localization and 3D Reconstruction of Urban Scenes Using GPS”

September 28th, 2008 Irfan Essa Posted in ISWC, Kihwan Kim, Mobile Computing, Papers, Thad Starner No Comments »

Kihwan Kim, Jay Summet, Thad Starner, Daniel Ashbrook, Mrunal Kapade and Irfan Essa  (2008) “Localization and 3D Reconstruction of Urban Scenes Using GPS” In Proceedings of IEEE Symposium on Wearable Computing (ISWC) 2008 (To Appear). [PDF]

ABSTRACT

research_gpsray

Using off-the-shelf Global Positioning System (GPS) units, we reconstruct buildings in 3D by exploiting the reduction in signal to noise ratio (SNR) that occurs when the buildings obstruct the line-of-sight between the moving units and the orbiting satellites. We measure the size and height of skyscrapers as well as automatically constructing a density map representing the location of multiple buildings in an urban landscape.  If deployed on a large scale, via a cellular service provider’s GPS-enabled mobile phones or GPS-tracked delivery vehicles, the system could provide an inexpensive means of continuously creating and updating 3D maps of urban environments.

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