Special Research Initiatives - Grant ID: SR0567319
Funder
Australian Research Council
Funding Amount
$145,000.00
Summary
DADA-HCS: Distributed Access and Data Annotation for the Human Communication Sciences. This project aims to build a National storage network for human
communication sciences data which will enable subscribers to
publish their own data and make use of data provided by other subscribers or third party suppliers. The network will provide infrastructure for rights management of data, in particular making sure that any original conditions on the collection and publication of data are respected. T ....DADA-HCS: Distributed Access and Data Annotation for the Human Communication Sciences. This project aims to build a National storage network for human
communication sciences data which will enable subscribers to
publish their own data and make use of data provided by other subscribers or third party suppliers. The network will provide infrastructure for rights management of data, in particular making sure that any original conditions on the collection and publication of data are respected. The project will support collaborative annotation of data stored in the network so its use can be maximised across disciplines.
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A scheme of local compilation of mobile collectors for image and video search engines. The object collector is an important component in a Web search engine. A collector collects Web objects (text, image, video, etc), extracts their features and builds an index file for the search engine. Sending each object to the collector is always the worst option with respect to resource usage because it is the feature, not the entire object, which will be used in indexing and retrieval. An alternative is t ....A scheme of local compilation of mobile collectors for image and video search engines. The object collector is an important component in a Web search engine. A collector collects Web objects (text, image, video, etc), extracts their features and builds an index file for the search engine. Sending each object to the collector is always the worst option with respect to resource usage because it is the feature, not the entire object, which will be used in indexing and retrieval. An alternative is to send a collector to the source site, which has an advantage of distributing computational load and performing summarization and compression. This project proposes a locally compiled mobile collector for image and video search engines.Read moreRead less
Content-based image retrieval using interactive feedback. Storage and retrieval of visual information plays an important role in multimedia systems. We aim to develop a method to retrieve images and visual information from multimedia databases and multimedia systems. The method will go beyond simple similarity search to retrieval data on knowledge by accommodating knowledge acquisition and sequential learning techniques, and will be able to handle complex queries with partial information. The ....Content-based image retrieval using interactive feedback. Storage and retrieval of visual information plays an important role in multimedia systems. We aim to develop a method to retrieve images and visual information from multimedia databases and multimedia systems. The method will go beyond simple similarity search to retrieval data on knowledge by accommodating knowledge acquisition and sequential learning techniques, and will be able to handle complex queries with partial information. The technology developed will find many applications in the multimedia area such as education, medical imaging, desktop publishing, advertising, business presentation, and engineering design.Read moreRead less
A scheme and a formal language for interactive video. Video has been increasingly used in many fields and plays an important role in our daily life. Most traditional video players and video formats only provide linear interaction, such as play, fast forward, fast backward or jump to a certain frame of a video stream indicated by a sequence or time on a random access device. This project aims at enabling a hyperlink type of interactions for video data through the development of video interaction ....A scheme and a formal language for interactive video. Video has been increasingly used in many fields and plays an important role in our daily life. Most traditional video players and video formats only provide linear interaction, such as play, fast forward, fast backward or jump to a certain frame of a video stream indicated by a sequence or time on a random access device. This project aims at enabling a hyperlink type of interactions for video data through the development of video interaction mark-up language (VIML). It can find many applications in education, marketing, web presentation and digital TV.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0668542
Funder
Australian Research Council
Funding Amount
$425,000.00
Summary
Multimedia Computing, Production, Management and Distribution for HDTV and its Applications. Australia is the first country to launch digital TV nationally. Increasingly, this platform will be used for consuming multimedia information; also the HDTV infrastructure is being applied to other domains such as telemedicine/e-Health to lower costs and improve effectiveness. For Australia to be a step ahead in the development of these applications that are beneficial to a wider community, we have to lo ....Multimedia Computing, Production, Management and Distribution for HDTV and its Applications. Australia is the first country to launch digital TV nationally. Increasingly, this platform will be used for consuming multimedia information; also the HDTV infrastructure is being applied to other domains such as telemedicine/e-Health to lower costs and improve effectiveness. For Australia to be a step ahead in the development of these applications that are beneficial to a wider community, we have to look forward and establish adequate infrastructure for the development of needed applications of the future. It is strongly believed that by doing so we can position ourselves ahead of other communities in anticipating and providing essential services to our modern society and this in turn will greatly benefit the Australian economy.Read moreRead less
Efficient Techniques for Mining Exceptional Patterns. This research will develop totally new techniques for exceptional pattern discovery that are useful for deeper understanding data mining and capturing the hidden interactions (class-bridge rules and out-expectation patterns) within data. This will enable Australian data marketers to access valuable implicit information that is contained in their data, but not currently accessible. The outcomes will keep Australia in the international leading ....Efficient Techniques for Mining Exceptional Patterns. This research will develop totally new techniques for exceptional pattern discovery that are useful for deeper understanding data mining and capturing the hidden interactions (class-bridge rules and out-expectation patterns) within data. This will enable Australian data marketers to access valuable implicit information that is contained in their data, but not currently accessible. The outcomes will keep Australia in the international leading edge and preserve its competitive status in preemptively defining the information market of tomorrow. To 'Frontier Technologies for Building and Transforming Australian Industries', discovering new exceptional patterns within data will lead to increased efficiency in Australian Industries.Read moreRead less
Efficient Strategies for Mining Negative Association Rules. Negative association rules (NAR) catch mutually-exclusive correlations
among items. They play important roles just as traditional association
rules (TAR) do. For example, in stock market surveillance based on alert logs, NARs detect which alerts are false. There are essential differences between mining TARs and NARs because NARs are hidden in infrequent itemsets. This research will develop efficient strategies for mining NARs in datab ....Efficient Strategies for Mining Negative Association Rules. Negative association rules (NAR) catch mutually-exclusive correlations
among items. They play important roles just as traditional association
rules (TAR) do. For example, in stock market surveillance based on alert logs, NARs detect which alerts are false. There are essential differences between mining TARs and NARs because NARs are hidden in infrequent itemsets. This research will develop efficient strategies for mining NARs in databases. These strategies are expected to be about ten times faster than existing ones. This project will deliver database-independent and high-performance mining algorithms for decision-making. The results can benefit Australian marketing and financial companies as well as health and security departments for smart information use.Read moreRead less
Multiple Data Source Discovery: Group Interaction Approach. This project will develop new technology and theory to identify and evaluate incomplete data. It will deliver a high-performance group-interaction based global pattern discovery system that enables decision-makers (like doctors) to access valuable implicit information that is contained in their data but not currently accessible. Mining group interactions will greatly extend the scope of pattern discovery and new product evaluation. The ....Multiple Data Source Discovery: Group Interaction Approach. This project will develop new technology and theory to identify and evaluate incomplete data. It will deliver a high-performance group-interaction based global pattern discovery system that enables decision-makers (like doctors) to access valuable implicit information that is contained in their data but not currently accessible. Mining group interactions will greatly extend the scope of pattern discovery and new product evaluation. The outcomes of the project will lead to better diagnostic decisions and will lead to increased efficiency in Australian Industries.Read moreRead less
Effective Techniques and Methodologies for Multi-Database Mining. This project develops a high-performance multi-database mining system. This project is significant because (1) it is imperative due to a great deal of multi-databases widely used in organizations; (2) it is difficult due to essential differences between mono- and multi-databases; (3) existing multi-database mining techniques are inadequate; and (4) the new mining strategies in this project can make a vast improvement of the abilit ....Effective Techniques and Methodologies for Multi-Database Mining. This project develops a high-performance multi-database mining system. This project is significant because (1) it is imperative due to a great deal of multi-databases widely used in organizations; (2) it is difficult due to essential differences between mono- and multi-databases; (3) existing multi-database mining techniques are inadequate; and (4) the new mining strategies in this project can make a vast improvement of the ability and performance of multi-database mining systems. The expected outcomes are: an application-independent database classification, a local instance analysis and a prototype system. These proposed techniques are innovative, effective and efficient in identifying novel patterns from multi-databases.Read moreRead less
Ontology-Based Group Pattern Discovery Systems for Mining Multiple Data Sources. This project will aim at the frontier technologies development for practical techniques in the context of real multiple-data-source mining systems, including stock data and e-business data analysis. It will bring Australian individuals and organizations (i) high quality information from multiple data sources and (ii) automatically pattern discovery systems for tackling the multiple data source problem. This will lea ....Ontology-Based Group Pattern Discovery Systems for Mining Multiple Data Sources. This project will aim at the frontier technologies development for practical techniques in the context of real multiple-data-source mining systems, including stock data and e-business data analysis. It will bring Australian individuals and organizations (i) high quality information from multiple data sources and (ii) automatically pattern discovery systems for tackling the multiple data source problem. This will lead to greatly enhance the international competition of Australian companies and significantly reduce investing risks. Read moreRead less