Scalable multimedia delivery for pervasive computing
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
Challenges: an application model for pervasive computing
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Query by humming: music information retrieval in an audio database
Readings in multimedia computing and networking
Time as essence for photo browsing through personal digital libraries
Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
Modern Information Retrieval
How do people manage their digital photographs?
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Automatic Image Indexing for Rapid Content-Based Retrieval
IW-MMDBMS '96 Proceedings of the 1996 International Workshop on Multi-Media Database Management Systems (IW-MMDBMS '96)
Evolution of mobile location-based services
Communications of the ACM - Mobile computing opportunities and challenges
Geographic location tags on digital images
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Implicit Concept-based Image Indexing and Retrieval
MMM '04 Proceedings of the 10th International Multimedia Modelling Conference
ETP '03 Proceedings of the 2003 ACM SIGMM workshop on Experiential telepresence
Photo annotation on a camera phone
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Multimedia Retrieval Benchmarks
IEEE MultiMedia
ISMSE '04 Proceedings of the IEEE Sixth International Symposium on Multimedia Software Engineering
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In Mobile Multimedia Object (M³O) retrieval, high precision is required, as there is limited scope for browsing or relevance feedback due to limitations in both time and display size. In M³O, three kinds of data will need to be managed: raw content data; metadata for assisting non-content based searches; structured content description data to facilitate fast content based searches. These three kinds of data have to be processed and integrated to support efficient M³O management and retrieval. This paper examines methods, both automatic and semi-automatic, for capturing data that will support accurate M³O data retrieval. A data architecture and organisation structure of mobile multimedia data is presented.