Knowledge assisted data management and retrieval in multimedia database systems

With the proliferation of multimedia data and ever-growing requests for multimedia applications, there is an increasing need for efficient and effective indexing, storage and retrieval of multimedia data, such as graphics, images, animation, video, audio and text. Due to the special characteristics of the multimedia data, the Multimedia Database management Systems (MMDBMSs) have emerged and attracted great research attention in recent years. Though much research effort has been devoted to this area, it is still far from maturity and there exist many open issues. In this dissertation, with the focus of addressing three of the essential challenges in developing the MMDBMS, namely, semantic gap, perception subjectivity and data organization, a systematic and integrated framework is proposed with video database and image database serving as the testbed. In particular, the framework addresses these challenges separately yet coherently from three main aspects of a MMDBMS: multimedia data representation, indexing and retrieval. In terms of multimedia data representation, the key to address the semantic gap issue is to intelligently and automatically model the mid-level representation and/or semi-semantic descriptors besides the extraction of the low-level media features. The data organization challenge is mainly addressed by the aspect of media indexing where various levels of indexing are required to support the diverse query requirements. In particular, the focus of this study is to facilitate the high-level video indexing by proposing a multimodal event mining framework associated with temporal knowledge discovery approaches. With respect to the perception subjectivity issue, advanced techniques are proposed to support users' interaction and to effectively model users' perception from the feedback at both the image-level and object-level.

DIMUSE: An integrated framework for distributed multimedia system with database management and security support

With the recent explosion in the complexity and amount of digital multimedia data, there has been a huge impact on the operations of various organizations in distinct areas, such as government services, education, medical care, business, entertainment, etc. To satisfy the growing demand of multimedia data management systems, an integrated framework called DIMUSE is proposed and deployed for distributed multimedia applications to offer a full scope of multimedia related tools and provide appealing experiences for the users. This research mainly focuses on video database modeling and retrieval by addressing a set of core challenges. First, a comprehensive multimedia database modeling mechanism called Hierarchical Markov Model Mediator (HMMM) is proposed to model high dimensional media data including video objects, low-level visual/audio features, as well as historical access patterns and frequencies. The associated retrieval and ranking algorithms are designed to support not only the general queries, but also the complicated temporal event pattern queries. Second, system training and learning methodologies are incorporated such that user interests are mined efficiently to improve the retrieval performance. Third, video clustering techniques are proposed to continuously increase the searching speed and accuracy by architecting a more efficient multimedia database structure. A distributed video management and retrieval system is designed and implemented to demonstrate the overall performance. The proposed approach is further customized for a mobile-based video retrieval system to solve the perception subjectivity issue by considering individual user's profile. Moreover, to deal with security and privacy issues and concerns in distributed multimedia applications, DIMUSE also incorporates a practical framework called SMARXO, which supports multilevel multimedia security control. SMARXO efficiently combines role-based access control (RBAC), XML and object-relational database management system (ORDBMS) to achieve the target of proficient security control. A distributed multimedia management system named DMMManager (Distributed MultiMedia Manager) is developed with the proposed framework DEMUR; to support multimedia capturing, analysis, retrieval, authoring and presentation in one single framework.

History education and the construction of national identity in Iran

This study examined the representation of national and religious dimensions of Iranian history and identity in Iranian middle school history textbooks. Furthermore, through a qualitative case study in a school in the capital city of Tehran, teachers' use of textbooks in classrooms, students' response, their perceptions of the country's past, and their definitions of national identity is studied. The study follows a critical discourse analysis framework by focusing on the subjectivity of the text and examining how specific concepts, in this case collective identities, are constructed through historical narratives and how social actors, in this case students, interact with , and make sense of, the process. My definition of national identity is based on the ethnosymbolism paradigm (Smith, 2003) that accommodates both pre-modern cultural roots of a nation and the development and trajectory of modern political institutions. Two qualitative approaches of discourse analysis and case study were employed. The textbooks selected were those published by the Ministry of Education; universally used in all middle schools across the country in 2009. The case study was conducted in a girls' school in Tehran. The students who participated in the study were ninth grade students who were in their first year of high school and had just finished a complete course of Iranian history in middle school. Observations were done in history classes in all three grades of the middle school. The study findings show that textbooks present a generally negative discourse of Iran's long history as being dominated by foreign invasions and incompetent kings. At the same time, the role of Islam and Muslim clergy gradually elevates in salvaging the country from its despair throughout history, becomes prominent in modern times, and finally culminates in the Islamic Revolution as the ultimate point of victory for the Iranian people. Throughout this representation, Islam becomes increasingly dominant in the textbooks' narrative of Iranian identity and by the time of the Islamic Revolution morphs into its single most prominent element. On the other hand, the students have created their own image of Iran's history and Iranian identity that diverges from that of the textbooks especially in their recollection of modern times. They have internalized the generally negative narrative of textbooks, but have not accepted the positive role of Islam and Muslim clergy. Their notion of Iranian identity is dominated by feelings of defeat and failure, anecdotal elements of pride in the very ancient history, and a sense of passivity and helplessness.

Recruitment, Selection and Retention of Managers In the Hotel and Restaurant Industry

The recruitment, selection, and retention of competent, reliable, and motivated managers has been the cornerstone of any successful organization. This is generally a complex assignment due to the subjectivity involved in determining what traits are needed to make a good manager. In order to determine the status of the hospitality industry with regard to managerial concerns, leaders in the hotel and restaurant industry were surveyed on these issues.