The purpose of this study was to develop a model that would enhance the development, dissemination, and adoption of educational multimedia materials. The grounded theory definition of open coding was used to analyze data collected from the 3-year Technology Leadership Web Library Project at the University of North Texas. Weekly meeting minutes, email communication, reports, notes, questionnaires, and surveys were examined to determine major factors involved in the process of product development and dissemination. From the analysis of this study, five major factors in product development and dissemination were identified. These factors were leadership, team dynamics, expert advisors, feedback, and consumers. The synthesis of the factors led to the development of the PROMOTE (process revolving around ongoing management of team and evaluative feedback) model. The PROMOTE model is based on the establishment of a system that includes leadership, development team, and expert advisors at its center. The system is tied together with well-established feedback loops for stages of evaluation. The PROMOTE model is iterative and uses consumer feedback to generate new products. The PROMOTE model differs from other product development and evaluation models both in the focus of the process and the nature of the evaluation feedback.

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Online Multimedia Communication System is a project aimed at providing people the ability to store and share their multimedia files. The users and administrator can modify and view the files and database information from a normal web browser. Furthermore, this site offers a secure environment to keep all the users' information private.

Multimedia documents are composed of multiple file format combinations, such as image and text, image and sound, or image, text and sound. The type of multimedia document determines the form of analysis for knowledge architecture design and retrieval methods. Over the last few decades, theories of text analysis have been proposed and applied effectively. In recent years, theories of image and sound analysis have been proposed to work with text retrieval systems and progressed quickly due in part to rapid progress in computer processing speed. Retrieval of multimedia documents formerly was divided into the categories of image and text, and image and sound. While standard retrieval process begins from text only, methods are developing that allow the retrieval process to be accomplished simultaneously using text and image. Although image processing for feature extraction and text processing for term extractions are well understood, there are no prior methods that can combine these two features into a single data structure. This dissertation will introduce a common representation format for multimedia documents (CRFMD) composed of both images and text. For image and text analysis, two techniques are used: the Lorenz Information Measurement and the Word Code. A new process named Jeong's Transform is demonstrated for extraction of text and image features, combining the two previous measurements to form a single data structure. Finally, this single data measurements to form a single data structure. Finally, this single data structure is analyzed by using multi-dimensional scaling. This allows multimedia objects to be represented on a two-dimensional graph as vectors. The distance between vectors represents the magnitude of the difference between multimedia documents. This study shows that image classification on a given test set is dramatically improved when text features are encoded together with image features. This effect appears to hold true even when the available text is diffused and is not uniform with the image features. This retrieval system works by representing a multimedia document as a single data structure. CRFMD is applicable to other areas of multimedia document retrieval and processing, such as medical image retrieval, World Wide Web searching, and museum collection retrieval.

D.Litt. et Phil. (Information Science) / The project involved the design of a multimedia study package for distance teaching in computerised information retrieval. This included external online and CD-ROM informa- tion retrieval, as well as specialized systems such as in-house databases, videotex, teletext and Internet. The target group was information specialists. The findings may also apply to other target groups, provided a thorough situation analysis serves as point of departure. The project was initiated by the growing importance of distance education, the constant developments in the online industry and the need for didactically grounded study packages for teaching computerised information retrieval skills. Such packages should focus on technological knowledge and skills on the higher cognitive, affective and psychomotor levels. A literature study was conducted on four subproblems: the nature of distance education; the characteristics of multimedia study packages; the didactical grounding of such packages (including curriculum development, instructional design and media selection); and the state of the art regarding the 'teaching of computerised information retrieval. This led to the conclusion that the theory of distance education should serve as focal point in the design of a multimedia package, while special attention is also given to Keegan's theory which focuses on the reintegration of the teaching and learning acts. Study packages should be the result of instructional design, which is dependent on curriculum development. The latter includes decisions made on the macro and meso levels of the curriculum and the consideration of technological infrastructures available in the wider society. Provision should also be made for the typical characteristics of multimedia packages for distance teaching, including individual study, irregular contact teaching sessions, active student involvement, opportunities for self-evaluation, enriching and remedial learning events, student support and the recognition of the needs of adult learners (andragogical needs), as well as those of young adults. The mastering of higher order skills should be supported by opportunities for active student involvement including self-evaluation of lower order skills. Provision should also be made 1I1 for the practical application of knowledge and skills, as welI as evaluation skills, by fully exploiting the possibilities offered by interactive teaching. Students should, however, attend interactive sessions welI prepared. This could be ensured by making use of prior self- evaluation as well as tutor evaluation of both subject matter and media literacy. A variety of media and teaching methods can be applied in the mediated teaching of computerised information retrieval. Media selection should be based on media character- istics, performance objectives, subject nature and logistical factors. An eclectic model for instructional design is proposed. A concept design for a multimedia package for distance teaching of computerised information retrieval was developed by applying this eclectic model. The concept design was based on the didactical situation at the University of South Africa. Although the design has focused on the ideal situation, where students have access to computers and attend sporadic contact teaching sessions, suggestions are also made for a differentiated package. These suggestions include a basic study package, a learning contract with the student and his employee, and a package with enriched learning experience.

In the past few years, violence detection has become an increasingly rele- vant topic in computer vision with many proposed solutions by researchers. This thesis proposes a solution called Criminal Aggression Recognition Engine (CARE), an OpenCV based Java implementation of a violence detection system that can be trained with video datasets to classify action in a live feed as non-violent or violent. The algorithm extends existing work on fast ght detection by implementing violence detection of live video, in addition to prerecorded video. The results for violence detection in prerecorded videos are comparable to other popular detection systems and the results for live video are also very encouraging, making the work proposed in this thesis a solid foundation for improved live violence detection systems. / Includes bibliography. / Thesis (M.S.)--Florida Atlantic University, 2016. / FAU Electronic Theses and Dissertations Collection

by Chung-Wing Ng. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2002. / Includes bibliographical references (leaves 100-107). / Abstracts in English and Chinese. / Abstract --- p.ii / Acknowledgment --- p.vi / Table of Contents --- p.vii / List of Tables --- p.x / List of Figures --- p.xi / Chapter Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Image-based Video Description --- p.2 / Chapter 1.2 --- Video Summary --- p.5 / Chapter 1.3 --- Video Matching --- p.6 / Chapter 1.4 --- Contributions --- p.7 / Chapter 1.5 --- Outline of Thesis --- p.8 / Chapter Chapter 2 --- Literature Review --- p.10 / Chapter 2.1 --- Video Retrieval in Digital Video Libraries --- p.11 / Chapter 2.1.1 --- The VISION Project --- p.11 / Chapter 2.1.2 --- The INFORMEDIA Project --- p.12 / Chapter 2.1.3 --- Discussion --- p.13 / Chapter 2.2 --- Video Structuring --- p.14 / Chapter 2.2.1 --- Video Segmentation --- p.16 / Chapter 2.2.2 --- Color histogram Extraction --- p.17 / Chapter 2.2.3 --- Further Structuring --- p.18 / Chapter 2.3 --- XML Technologies --- p.19 / Chapter 2.3.1 --- XML Syntax --- p.20 / Chapter 2.3.2 --- "Document Type Definition, DTD" --- p.21 / Chapter 2.3.3 --- "Extensible Stylesheet Language, XSL" --- p.21 / Chapter 2.4 --- SMIL Technology --- p.22 / Chapter 2.4.1 --- SMIL Syntax --- p.23 / Chapter 2.4.2 --- Model of SMIL Applications --- p.23 / Chapter Chapter 3 --- Overview of ADVISE --- p.25 / Chapter 3.1 --- Objectives --- p.26 / Chapter 3.2 --- System Architecture --- p.26 / Chapter 3.2.1 --- Video Preprocessing Module --- p.26 / Chapter 3.2.2 --- Web-based Video Retrieval Module --- p.30 / Chapter 3.2.3 --- Video Streaming Server --- p.34 / Chapter 3.3 --- Summary --- p.35 / Chapter Chapter 4 --- Construction of Video Table-of-Contents (V-ToC) --- p.36 / Chapter 4.1 --- Video Structuring --- p.37 / Chapter 4.1.1 --- Terms and Definitions --- p.37 / Chapter 4.1.2 --- Regional Color Histograms --- p.39 / Chapter 4.1.3 --- Video Shot Boundaries Detection --- p.43 / Chapter 4.1.4 --- Video Groups Formation --- p.47 / Chapter 4.1.5 --- Video Scenes Formation --- p.50 / Chapter 4.2 --- Storage and Presentation --- p.53 / Chapter 4.2.1 --- Definition of XML Video Structure --- p.54 / Chapter 4.2.2 --- V-ToC Presentation Using XSL --- p.55 / Chapter 4.3 --- Evaluation of Video Structure --- p.58 / Chapter Chapter 5 --- Video Summarization --- p.62 / Chapter 5.1 --- Terms and Definitions --- p.64 / Chapter 5.2 --- Video Features Used for Summarization --- p.65 / Chapter 5.3 --- Video Summarization Algorithm --- p.67 / Chapter 5.3.1 --- Combining Extracted Video Segments --- p.68 / Chapter 5.3.2 --- Scoring the Extracted Video Segments --- p.69 / Chapter 5.3.3 --- Selecting Extracted Video Segments --- p.70 / Chapter 5.3.4 --- Refining the Selection Result --- p.71 / Chapter 5.4 --- Video Summary in SMIL --- p.74 / Chapter 5.5 --- Evaluations --- p.76 / Chapter 5.5.1 --- Experiment 1: Percentages of Features Extracted --- p.76 / Chapter 5.5.2 --- Experiment 2: Evaluation of the Refinement Process --- p.78 / Chapter Chapter 6 --- Video Matching Using V-ToC --- p.80 / Chapter 6.1 --- Terms and Definitions --- p.81 / Chapter 6.2 --- Video Features Used for Matching --- p.82 / Chapter 6.3 --- Non-ordered Tree Matching Algorithm --- p.83 / Chapter 6.4 --- Ordered Tree Matching Algorithms --- p.87 / Chapter 6.5 --- Evaluation of Video Matching --- p.91 / Chapter 6.5.1 --- Applying Non-ordered Tree Matching --- p.92 / Chapter 6.5.2 --- Applying Ordered Tree Matching --- p.94 / Chapter Chapter 7 --- Conclusion --- p.96 / Bibliography --- p.100