Fundamentals of speech recognition
Fundamentals of speech recognition
The query by image content (QBIC) system
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Open-vocabulary speech indexing for voice and video mail retrieval
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Integrated technologies for indexing spoken language
Communications of the ACM
Phonetic confusion matrix based spoken document retrieval
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Topic Detection and Tracking: Event-Based Information Organization
Topic Detection and Tracking: Event-Based Information Organization
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Perspectives on Information Retrieval and Speech
Information Retrieval Techniques for Speech Applications [this book is based on the workshop “Information Retrieval Techniques for Speech Applications”, held as part of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in New Orleans, USA, in September 2001].
Toward speech as a knowledge resource
IBM Systems Journal
HD/SHD still image database system and image distribution in broadband network applications
Computers and Electrical Engineering
Tlk or txt? Using voice input for SMS composition
Personal and Ubiquitous Computing
Providing Content Aware Enterprise Communication Services
Principles, Systems and Applications of IP Telecommunications. Services and Security for Next Generation Networks
Theory and Implementation on Automatic Adaptive Metadata Generation for Image Retrieval
Proceedings of the 2006 conference on Information Modelling and Knowledge Bases XVII
Proceedings of the international conference on Multimedia
Spoken Content Retrieval: A Survey of Techniques and Technologies
Foundations and Trends in Information Retrieval
| Hi-index | 4.10 |
Despite recent advances, multimedia use in knowledge management remains largely limited to retrieval systems. Multimedia data introduces several challenges to KM systems, including the uncertainties associated with media analyzers and the need for good scalability and effective user interfaces. Architectures capable of handling system complexity will also play a crucial role in deploying multimedia-based KM solutions. The prospects for fully exploiting multimedia content are promising. Given current trends in audio and video analysis, multimedia storage and distribution over the Internet, developments in XML representations, and integration with knowledge portals, the authors expect multimedia data to become truly pervasive.