The Experts below are selected from a list of 98634 Experts worldwide ranked by ideXlab platform
Yong Rui - One of the best experts on this subject based on the ideXlab platform.
-
application potential of Multimedia Information retrieval
Proceedings of the IEEE, 2008Co-Authors: Mohan S Kankanhalli, Yong RuiAbstract:This paper will first briefly survey the existing impact of Multimedia Information retrieval (MIR) in applications. It will then analyze the current trends of MIR research which can have an influence on future applications. It will then detail the future possibilities and bottlenecks in applying the MIR research results in the main target application areas, such as the consumer (e.g., personal video recorders, web Information retrieval), public safety (e.g., automated smart surveillance systems), and professional world (e.g., automated meeting capture and summarization). In particular, recommendations will be made to the research community regarding the challenges that need to be met to make the knowledge transfer towards the applications more efficient and effective. It will also attempt to study the trends in the applications which can inform the MIR community on directing intellectual resources towards MIR problems which can have a maximal real-world impact.
-
a relevance feedback architecture for content based Multimedia Information retrieval systems
1997 Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries, 1997Co-Authors: Yong Rui, Thomas S Huang, Sharad Mehrotra, Michael OrtegaAbstract:Content-based Multimedia Information retrieval (MIR) has become one of the most active research areas in the past few years. Many retrieval approaches based on extracting and representing visual properties of Multimedia data have been developed. While these approaches establish the viability of MIR based on visual features, techniques for incorporating human expertise directly during the query process to improve retrieval performance have not drawn enough attention. To address this limitation, this paper introduces a human-computer interaction based approach to MIR in which the user guides the system during retrieval using relevance feedback. Our experiments show that the retrieval performance improves significantly by incorporating humans in the retrieval process
Mehmet Sabih Aksoy - One of the best experts on this subject based on the ideXlab platform.
-
i solframework an integrated solution framework six layers assessment on Multimedia Information security architecture policy compliance
arXiv: Multimedia, 2012Co-Authors: Heru Susanto, Mohammad Nabil Almunawar, Yong Chee Tuan, Mehmet Sabih AksoyAbstract:Multimedia Information security becomes a important part for the organization's intangible assets. Level of confidence and stakeholder trusted are performance indicator as successes organization, it is imperative for organizations to use Information Security Management System (ISMS) to effectively manage their Multimedia Information assets. The main objective of this paper is to Provide a novel practical framework approach to the development of ISMS, Called by the I-SolFramework, implemented in Multimedia Information security architecture (MISA), it divides a problem into six object domains or six layers, namely organization,stakeholders, tool & technology, policy, knowledge, and culture. In addition, this framework also introduced novelty algorithm and mathematic models as measurement and assessment tools of MISA parameters.
-
i solframework an integrated solution framework six layers assessment on ultimedia Information security architecture policy compliance
arXiv: Multimedia, 2012Co-Authors: Heru Susanto, Mohammad Nabil Almunawar, Yong Chee Tuan, Mehmet Sabih AksoyAbstract:Multimedia Information security becomes a important part for the organization’s intangible assets. Level of confidence and stakeholder trusted are performance indicator as successes organization, it is imperative for organizations to use Information Security Management System (ISMS) to effectively manage their Multimedia Information assets. The main objective of this paper is to provide a novel practical framework approach to the development of ISMS, Called by the I-SolFramework, implemented in Multimedia Information security architecture (MISA), it divides a problem into six object domains or six layers, namely organization, stakeholders, tool & technology, policy, knowledge, and culture. In addition, this framework also introduced novelty algorithm and mathematic models as measurement and assessment tools of MISA parameters.
John R Smith - One of the best experts on this subject based on the ideXlab platform.
-
the holy grail of Multimedia Information retrieval so close or yet so far away
Proceedings of the IEEE, 2008Co-Authors: Alan Hanjalic, Rainer Lienhart, John R SmithAbstract:The papers in this issue cover the main aspects of Multimedia Information retrieval research, assess the applicability of the obtained results in real-life scenarios, and address the many future challenges in this field.
-
Multimedia database management systems
1999Co-Authors: John R Smith, Tong Zhang, Shihfu ChangAbstract:Introduction. Multimedia Data Types and Formats. Multimedia Database Design Issues. Text Document Indexing and Retrieval. Indexing and Retrieval of Audio. Image Indexing and Retrieval. Video Indexing and Retrieval. Integrated Multimedia Indexing and Retrieval. Techniques and Data Structures for Efficient Multimedia Similarity Search. System Support for Distributed Multimedia Databases. Measurement of Multimedia Information Retrieval Effectiveness. Products, Applications, and New Developments.
-
columbia digital news system an environment for briefing and search over Multimedia Information
Proceedings of ADL '97 Forum on Research and Technology. Advances in Digital Libraries, 1997Co-Authors: Shihfu Chang, John R Smith, Kathleen R Mckeown, Dragomir R Radev, Kazi A ZamanAbstract:In this paper we describe an ongoing research project called the Columbia Digital News System. The goal of this project is to develop a suite of effective interoperable tools with which people can find relevant Information (text, images, video, and structured documents) from distributed sources and track it over a period of time. Our initial focus is on the development of a system with which researchers, journalists, and students can keep track of current news events in specific areas.
Thomas S Huang - One of the best experts on this subject based on the ideXlab platform.
-
active learning for interactive Multimedia retrieval
Proceedings of the IEEE, 2008Co-Authors: Thomas S Huang, Charlie K Dagli, Shyamsundar Rajaram, Edward Y Chang, Michael I Mandel, Graham E Poliner, Daniel P W EllisAbstract:As the first decade of the 21st century comes to a close, growth in Multimedia delivery infrastructure and public demand for applications built on this backbone are converging like never before. The push towards reaching truly interactive Multimedia technologies becomes stronger as our media consumption paradigms continue to change. In this paper, we profile a technology leading the way in this revolution: active learning. Active learning is a strategy that helps alleviate challenges inherent in Multimedia Information retrieval through user interaction. We show how active learning is ideally suited for the Multimedia Information retrieval problem by giving an overview of the paradigm and component technologies used with special attention given to the application scenarios in which these technologies are useful. Finally, we give insight into the future of this growing field and how it fits into the larger context of Multimedia Information retrieval.
-
active learning for interactive Multimedia retrieval algorithms that employ feedback from users to guide the search process can provide relatively rapid and efficient results from large Multimedia data collections
2008Co-Authors: Thomas S Huang, Charlie K Dagli, Shyamsundar Rajaram, Edward Y Chang, Michael I Mandel, Graham E Poliner, Daniel P W EllisAbstract:As the first decade of the 21st century comes to a close, growth in Multimedia delivery infrastructure and public demand for applications built on this backbone are converging like never before. The push towards reaching truly interactive Multimedia technologies becomes stronger as our media consumption paradigms continue to change. In this paper, we will profile a technology leading the way in this revolution: active learning. Active learning is a strategy that helps alleviate challenges inherent in Multimedia Information re- trieval through user interaction. We will show how active learning is ideally suited for the Multimedia Information retrieval problem by giving an overview of the paradigm and component technologies used with special attention given to the application scenarios in which these technologies are useful. Finally, we give insight into the future of this growing field and how it fits into the larger context of Multimedia Information retrieval.
-
a relevance feedback architecture for content based Multimedia Information retrieval systems
1997 Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries, 1997Co-Authors: Yong Rui, Thomas S Huang, Sharad Mehrotra, Michael OrtegaAbstract:Content-based Multimedia Information retrieval (MIR) has become one of the most active research areas in the past few years. Many retrieval approaches based on extracting and representing visual properties of Multimedia data have been developed. While these approaches establish the viability of MIR based on visual features, techniques for incorporating human expertise directly during the query process to improve retrieval performance have not drawn enough attention. To address this limitation, this paper introduces a human-computer interaction based approach to MIR in which the user guides the system during retrieval using relevance feedback. Our experiments show that the retrieval performance improves significantly by incorporating humans in the retrieval process
Alan Hanjalic - One of the best experts on this subject based on the ideXlab platform.
-
user intent in Multimedia search a survey of the state of the art and future challenges
ACM Computing Surveys, 2016Co-Authors: Christoph Kofler, Martha Larson, Alan HanjalicAbstract:Today's Multimedia search engines are expected to respond to queries reflecting a wide variety of Information needs from users with different goals. The topical dimension (“what” the user is searching for) of these Information needs is well studied; however, the intent dimension (“why” the user is searching) has received relatively less attention. Specifically, intent is the “immediate reason, purpose, or goal” that motivates a user to query a search engine. We present a thorough survey of Multimedia Information retrieval research directed at the problem of enabling search engines to respond to user intent. The survey begins by defining intent, including a differentiation from related, often-confused concepts. It then presents the key conceptual models of search intent. The core is an overview of intent-aware approaches that operate at each stage of the Multimedia search engine pipeline (i.e., indexing, query processing, ranking). We discuss intent in conventional text-based search wherever it provides insight into Multimedia search intent or intent-aware approaches. Finally, we identify and discuss the most important future challenges for intent-aware Multimedia search engines. Facing these challenges will allow Multimedia Information retrieval to recognize and respond to user intent and, as a result, fully satisfy the Information needs of users.
-
the holy grail of Multimedia Information retrieval so close or yet so far away
Proceedings of the IEEE, 2008Co-Authors: Alan Hanjalic, Rainer Lienhart, John R SmithAbstract:The papers in this issue cover the main aspects of Multimedia Information retrieval research, assess the applicability of the obtained results in real-life scenarios, and address the many future challenges in this field.