On project-based learning through the vertically-integrated projects program

Georgia Tech's Colleges of Engineering and Computing initiated the Vertically-Integrated Projects (VIP) program in January 2009. Undergraduate students that join VIP teams earn academic credit for participating in design efforts that assist faculty and graduate students with research and development issues in their technical areas. The teams are: multidisciplinary — drawing students from around the university; vertically-integrated — maintaining a mix of sophomores through PhD students each semester; and long-term — each undergraduate student may participate in a project for up to six semesters. We describe the Video and Image Annotation VIP (VIA-VIP) project, which provides undergraduates unique opportunities to learn and apply state-of-the-art video-mining algorithms by processing a large archive of football videos recorded from GT football games. Their results are documented. Based on their feedback we believe the VIA-VIP course is on track to meet the needs of undergraduates in areas they don't usually see in the traditional undergraduate classroom.

[1]  S. Haykin Kalman Filtering and Neural Networks , 2001 .

[2]  Janet L. Kolodner,et al.  Problem-Based Learning Meets Case-Based Reasoning in the Middle-School Science Classroom: Putting Learning by Design(tm) Into Practice , 2003 .

[3]  Jan P. Allebach,et al.  The Vertically Integrated Projects (Vip) Program In Ece At Purdue: Fully Integrating Undergraduate Education And Graduate Research , 2006 .

[4]  H. Schmidt,et al.  The psychological basis of problem‐based learning: a review of the evidence , 1992, Academic medicine : journal of the Association of American Medical Colleges.

[5]  James V. Krogmeier,et al.  Enabling And Evaluating Collaboration Of Distributed Teams With High Definition Collaboration Systems , 2010 .

[6]  Kuldip K. Paliwal,et al.  Automatic Speech and Speaker Recognition , 1996 .

[7]  Daniel L. Schwartz,et al.  Doing with Understanding: Lessons from Research on Problem- and Project-Based Learning , 1998 .

[8]  Chin-Hui Lee,et al.  Automatic Image Annotation through Multi-Topic Text Categorization , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

[9]  Thomas Brox,et al.  High Accuracy Optical Flow Estimation Based on a Theory for Warping , 2004, ECCV.

[10]  W. Marsden I and J , 2012 .

[11]  Lihi Zelnik-Manor,et al.  Multiview Constraints on Homographies , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[12]  Jacek Konieczny,et al.  A complex system for football player detection in broadcasted video , 2010, ICSES 2010 International Conference on Signals and Electronic Circuits.

[13]  Michael J. Prince,et al.  Does Active Learning Work? A Review of the Research , 2004 .

[14]  David S. Doermann,et al.  Geometric Rectification of Camera-Captured Document Images , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[15]  Edward J. Coyle,et al.  Team-based software/system development in a vertically-integrated project-based course , 2011, 2011 Frontiers in Education Conference (FIE).

[16]  Alan Watt,et al.  The computer image , 1998 .

[17]  Kuldip K. Paliwal,et al.  Automatic Speech and Speaker Recognition: Advanced Topics , 1999 .

[18]  Chin-Hui Lee,et al.  A Multi-Modal Approach to Story Segmentation for News Video , 2003, World Wide Web.

[19]  W. Oakes,et al.  EPICS: engineering projects in community service , 2004, 34th Annual Frontiers in Education, 2004. FIE 2004..

[20]  G LoweDavid,et al.  Distinctive Image Features from Scale-Invariant Keypoints , 2004 .