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Recognition of Complex Events in Open-source Web-scale Videos: Features, Intermediate Representations and their Temporal Interactions
Title
Recognition of Complex Events in Open-source Web-scale Videos: Features, Intermediate Representations and their Temporal Interactions.
Creator
Bhattacharya, Subhabrata, Shah, Mubarak, Guha, Ratan, Laviola II, Joseph, Sukthankar, Rahul, Moore, Brian, University of Central Florida
Abstract / Description
Recognition of complex events in consumer uploaded Internet videos, captured under real-world settings, has emerged as a challenging area of research across both computer vision and multimedia community. In this dissertation, we present a systematic decomposition of complex events into hierarchical components and make an in-depth analysis of how existing research are being used to cater to various levels of this hierarchy and identify three key stages where we make novel contributions,...
Show moreRecognition of complex events in consumer uploaded Internet videos, captured under real-world settings, has emerged as a challenging area of research across both computer vision and multimedia community. In this dissertation, we present a systematic decomposition of complex events into hierarchical components and make an in-depth analysis of how existing research are being used to cater to various levels of this hierarchy and identify three key stages where we make novel contributions, keeping complex events in focus. These are listed as follows: (a) Extraction of novel semi-global features -- firstly, we introduce a Lie-algebra based representation of dominant camera motion present while capturing videos and show how this can be used as a complementary feature for video analysis. Secondly, we propose compact clip level descriptors of a video based on covariance of appearance and motion features which we further use in a sparse coding framework to recognize realistic actions and gestures. (b) Construction of intermediate representations -- We propose an efficient probabilistic representation from low-level features computed from videos, basedon Maximum Likelihood Estimates which demonstrates state of the art performancein large scale visual concept detection, and finally, (c) Modeling temporal interactions between intermediate concepts -- Using block Hankel matrices and harmonic analysis of slowly evolving Linear Dynamical Systems, we propose two new discriminative feature spaces for complex event recognition and demonstratesignificantly improved recognition rates over previously proposed approaches.
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Date Issued
2013
Identifier
CFE0004817, ucf:49724
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0004817
SketChart: A Pen-Based Tool for Chart Generation and Interaction.
Title
SketChart: A Pen-Based Tool for Chart Generation and Interaction.
Creator
Vargas Gonzalez, Andres, Laviola II, Joseph, Foroosh, Hassan, Hua, Kien, University of Central Florida
Abstract / Description
It has been shown that representing data with the right visualization increases the understanding of qualitative and quantitative information encoded in documents. However, current tools for generating such visualizations involve the use of traditional WIMP techniques, which perhaps makes free interaction and direct manipulation of the content harder. In this thesis, we present a pen-based prototype for data visualization using 10 different types of bar based charts. The prototype lets users...
Show moreIt has been shown that representing data with the right visualization increases the understanding of qualitative and quantitative information encoded in documents. However, current tools for generating such visualizations involve the use of traditional WIMP techniques, which perhaps makes free interaction and direct manipulation of the content harder. In this thesis, we present a pen-based prototype for data visualization using 10 different types of bar based charts. The prototype lets users sketch a chart and interact with the information once the drawing is identified. The prototype's user interface consists of an area to sketch and touch based elements that will be displayed depending on the context and nature of the outline. Brainstorming and live presentations can benefit from the prototype due to the ability to visualize and manipulate data in real time. We also perform a short, informal user study to measure effectiveness of the tool while recognizing sketches and users acceptance while interacting with the system. Results show SketChart strengths and weaknesses and areas for improvement.
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Date Issued
2014
Identifier
CFE0005434, ucf:50405
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0005434
Institutionalizing Service-Learning as a Best Practice of Community Engagement in Higher Education: Intra- and Inter-Institutional Comparisons of the Carnegie Community Engagement Elective Classification Framework
Title
Institutionalizing Service-Learning as a Best Practice of Community Engagement in Higher Education: Intra- and Inter-Institutional Comparisons of the Carnegie Community Engagement Elective Classification Framework.
Creator
Plante, Jarrad, Cox, Dr. Thomas, Robinson, Sandra, Bryer, Thomas, Bowdon, Melody, University of Central Florida
Abstract / Description
Service-learning, with a longstanding history in American higher education (Burkhardt (&) Pasque, 2005), includes three key tenets: superior academic learning, meaningful and relevant community service, and persistent civic learning (McGoldrick and Ziegert, 2002). The Carnegie Foundation for the Advancement of Teaching has created an elective classification system (-) Carnegie Community Engagement Classification (-) for institutions of higher education to demonstrate the breadth and depth of...
Show moreService-learning, with a longstanding history in American higher education (Burkhardt (&) Pasque, 2005), includes three key tenets: superior academic learning, meaningful and relevant community service, and persistent civic learning (McGoldrick and Ziegert, 2002). The Carnegie Foundation for the Advancement of Teaching has created an elective classification system (-) Carnegie Community Engagement Classification (-) for institutions of higher education to demonstrate the breadth and depth of student involvement and learning through partnerships and engagement in the community (Dalton (&) Crosby, 2011; Hurtado (&) DeAngelo, 2012; Kuh et al., 2008; Pryor, Hurtado, Saenz, Santos, (&) Korn, 2007). Community engagement (")is in the culture, commonly understood practices and knowledge, and (CCEC helps determine) whether it is really happening (-) rhetoric versus reality(") (J. Saltmarsh, personal communication, August 11, 2014). The study considers the applications of three Carnegie Community Engagement Classification designated institutions to understand the institutionalization of service-learning over time by examining the 2008 designation and 2015 reclassification across institution types (-) a Private Liberal Arts College, a Private Teaching University, and a Public Research University located in the same metropolitan area. Organizational Change Theory was used as a theoretical model. Case study methodology was used in the present qualitative research to perform document analysis with qualitative interviews conducted to elucidate the data from the 2008 and 2015 CCEC applications from the three institutions. Using intra- and inter-comparative analysis, this study highlights approaches, policies, ethos, and emerging concepts to inform how higher education institutions increase the quality and quantity of service-learning opportunities that benefit higher education practitioners as well as community leaders.
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Date Issued
2015
Identifier
CFE0005864, ucf:50852
Format
Document (PDF)
PURL
http://purl.flvc.org/ucf/fd/CFE0005864

Pages