S. Pietschmann, A. Mitschick, Ronny Winkler, Klaus Meißner
{"title":"CroCo: Ontology-Based, Cross-Application Context Management","authors":"S. Pietschmann, A. Mitschick, Ronny Winkler, Klaus Meißner","doi":"10.1109/SMAP.2008.10","DOIUrl":"https://doi.org/10.1109/SMAP.2008.10","url":null,"abstract":"Context-awareness is a key issue for future applications within heterogeneous and networked environments. In terms of efficiency and reusability, such applications should be separated from the problems of context gathering and modeling, but should instead profit from and contribute to cross-application context information. For this purpose, an ontology-based, cross-application context modeling and management service is needed to provide appropriate support for the variety of conceivable application scenarios. Although there have been numerous approaches dealing with application-independent context management, none of them sufficiently supports the vision of cross-application context handling. Therefore, we present CroCo, an ontology-based context management service that allows for cross-application context gathering, modeling, and provision. We verified and tested the practicability of our concept within two different projects with disparate application scenarios.","PeriodicalId":292389,"journal":{"name":"2008 Third International Workshop on Semantic Media Adaptation and Personalization","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131634625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ahmed Azough, A. Delteil, F. D. Marchi, Mohand-Said Hacid
{"title":"Description and Discovery of Complex Events in Video Surveillance","authors":"Ahmed Azough, A. Delteil, F. D. Marchi, Mohand-Said Hacid","doi":"10.1109/SMAP.2008.30","DOIUrl":"https://doi.org/10.1109/SMAP.2008.30","url":null,"abstract":"Behavior understanding and semantic interpretation of dynamic visual scenes have attracted a lot of attention in computer vision research community. Although the use of surveillance cameras has proliferated, the understanding of activities still remains complex. While users are mostly interested in high level and subjective semantics, only low level visual features can be extracted in a reliable way. This paper presents a novel in a reliable way. This paper presents a novel around the event modeling concept. It enables users to design their personal models of events combining elementary concept and low level features using expressive formalisms. The framework enables then detection of the events within video streams based on low level features extraction and manual annotations analysis, while taking in consideration uncertainty. Examples depicting content-based events modeling and detection from video surveillance are presented to illustrate the approach.","PeriodicalId":292389,"journal":{"name":"2008 Third International Workshop on Semantic Media Adaptation and Personalization","volume":"2020 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114500447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Social Framework for the Organisation and Automated Annotation of Personal Photo Collections","authors":"Mark Hughes","doi":"10.1109/SMAP.2008.26","DOIUrl":"https://doi.org/10.1109/SMAP.2008.26","url":null,"abstract":"Any large library of information requires efficient ways to organise it and methods, which allow people to access information efficiently. Collections of digital images are no exception. In this proposal we present a framework based on social interaction, to automatically create rich and accurate tags for images using state-of-the-art computer vision techniques, fused with the wide range of context information that is typically available about an image. This framework will enable new and novel ways to organise and present images to users. Due to the unique way that the images are organised many types of queries that would not be possible using standard information retrieval techniques can be processed successfully. The main aim of this work is to utilise the current popularity of online social networks, and fuse online social interaction with computer vision techniques to enable better organisation, retrieval and presentation of images from personal photo collections.","PeriodicalId":292389,"journal":{"name":"2008 Third International Workshop on Semantic Media Adaptation and Personalization","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131943973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}