His primary areas of study are Multimedia, World Wide Web, User profile, Content and Media content. His studies deal with areas such as Communication interface, Metadata, Microphone, Communication device and Asset as well as Multimedia. His research in Metadata focuses on subjects like Aggregate, which are connected to Information retrieval.
His work on RSS and Mobile device as part of general World Wide Web study is frequently connected to Electronic mail, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. He has included themes like Presentation, Volume, Track, CLIPS and Yet another in his User profile study. Content is connected with Application server and Computer network in his study.
His main research concerns Multimedia, Artificial intelligence, Content, World Wide Web and Media content. Bernard S. Renger studies IPTV, a branch of Multimedia. His Artificial intelligence study combines topics in areas such as Machine learning, Computer vision and Natural language processing.
In the subject of general Natural language processing, his work in Natural language is often linked to Spoken dialog, thereby combining diverse domains of study. His Content study spans across into fields like Information retrieval, User profile, User device and Computer network. His study in World Wide Web focuses on RSS and Mobile device.
Bernard S. Renger mainly investigates Human–computer interaction, Artificial intelligence, Object, Multimedia and Computer network. His Human–computer interaction research is multidisciplinary, incorporating perspectives in Session and Communications system. His work deals with themes such as User device and Computer vision, which intersect with Artificial intelligence.
His Object research is multidisciplinary, incorporating elements of Virtual image, Videoconferencing and Presentation. His Multimedia study combines topics from a wide range of disciplines, such as Aggregate and Application programming interface. Bernard S. Renger undertakes multidisciplinary studies into User equipment and Content in his work.
His primary scientific interests are in Human–computer interaction, Computer network, Monitoring food intake, Context based and Routing. The Human–computer interaction study combines topics in areas such as Representation, Session, Visual communication and Communications system. His Computer network research incorporates themes from Drop and Executable.
His studies link STREAMS with Routing.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
System for providing personalized telephone calling features
Carroll W Creswell;Francine S Frome;Daniel Furman;Filip S Kravitz.
(1992)
System for providing personalized telephone calling features
Carroll W. Creswell;Francine S. Frome;Daniel Furman;Philip S. Kravitz.
(1992)
System and method for monitoring information flow and performing data collection
Charles George Johnson;Ramnath A. Lakshmi-Ratan;Steven G. Lanning;Bernard S L Renger.
(1996)
Method and apparatus for interactively retrieving content related to previous query results
Lee Begeja;David Crawford Gibbon;Zhu Liu;Bernard S. Renger.
(2003)
Systems and Methods to Provide Location Information
Daniel Sheleheda;Cynthia Cama;Yih-Farn Chen;Rittwik Jana.
(2008)
Library of existing spoken dialog data for use in generating new natural language spoken dialog systems
Lee Begeja;Giuseppe Di Fabbrizio;David Crawford Gibbon;Dilek Z. Hakkani-Tur.
(2005)
System and method for selecting a multimedia presentation to accompany text
Zhu Liu;Andrea Basso;Lee Begeja;David C. Gibbon.
(2008)
System and method for playing media
Andrea Basso;Zhu Liu;Bernard S. Renger;Behzad Shahraray.
(2008)
System and method for adaptive content rendition
Andrea Basso;David C. Gibbon;Zhu Liu;Bernard S. Renger.
(2010)
Alternate delivery mechanisms of customized video streaming content to devices not meant for receiving video
Lee Begeja;David Gibbon;Zhu Liu;Robert Markowitz.
(2002)
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