TY - JOUR AB - For an environment to be perceived as being smart, contextual information has to be gathered to adapt the system's behavior and its interface towards the user. Being a rich source of context information speech can be acquired unobtrusively by microphone arrays and then processed to extract information about the user and his environment. In this paper, a system for joint temporal segmentation, speaker localization, and identification is presented, which is supported by face identification from video data obtained from a steerable camera. Special attention is paid to latency aspects and online processing capabilities, as they are important for the application under investigation, namely ambient communication. It describes the vision of terminal-less, session-less and multi-modal telecommunication with remote partners, where the user can move freely within his home while the communication follows him. The speaker diarization serves as a context source, which has been integrated in a service-oriented middleware architecture and provided to the application to select the most appropriate I/O device and to steer the camera towards the speaker during ambient communication. AU - Schmalenstroeer, Joerg AU - Haeb-Umbach, Reinhold ID - 11892 IS - 5 JF - IEEE Journal of Selected Topics in Signal Processing KW - audio streaming KW - audio visual data streaming KW - context information speech KW - face identification KW - face recognition KW - image segmentation KW - middleware KW - multimodal telecommunication KW - online diarization KW - service oriented middleware architecture KW - sessionless telecommunication KW - software architecture KW - speaker identification KW - speaker localization KW - speaker recognition KW - steerable camera KW - telecommunication computing KW - temporal segmentation KW - terminal-less telecommunication KW - video streaming TI - Online Diarization of Streaming Audio-Visual Data for Smart Environments VL - 4 ER -