Motoyuki Ozeki

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In this paper, we describe the enabling technologies to develop a smart meeting system based on a three layered generic model. From physical level to semantic level, it consists of meeting capturing, meeting recognition, and semantic processing. Based on the overview of underlying technologies and existing work, we propose a novel real-world smart meeting(More)
We propose a novel framework for automated video capturing and production for desktop manipulations. We focus on the system's ability to select relevant views by recognizing types of human behavior. Using this function, the obtained videos direct the audience's attention to the relevant portions of the video and enable more effective communication. We first(More)
We propose a novel method for detecting hands and hand-held objects in desktop manipulation situations. In order to achieve robust tracking under few constraints, we use multiple image sensors, that is, a RGB camera, a stereo camera, and an IR camera. By using these sensors, our system realized robust tracking without the prior knowledge of an object even(More)
In this paper, we introduce an intelligent system for video recording. First, we categorized targets and purposes of shooting, and discuss the cameraworks appropriate for them. Then, we propose camera control algorithms to realize such cameraworks. Based on this idea, we built a prototype pan-tilt camera control system, in which multiple cameras with(More)
In desktop manipulations such as cooking or assembly instruction videos, a performer often draws the viewers' attention to significant portions of the video's content by means of a specific set of physical behaviors. We verified the efficacy of videos edited based on those behaviors by observing television programs and simulating them with the use of our(More)
This paper presents a novel idea for a smart cooking support system. The system is controlled by an Interaction Reproducing Model (IRM) that adjusts the system output to reproduce ideal interactions between the system and the users, and appropriate advice is provided at the appropriate time. This mechanism is based on the idea that simulation of past(More)
In this paper, we propose a novel framework "Virtual Assistant" for enhancing content potentially procured by ambient media. The Virtual Assistant is an artificial agent simulating a human assistant shown in TV programs and prompts users to provide feedback by asking questions or back-channeling. This framework ensures that sufficient information is(More)
In this paper, we propose the " Virtual Assistant, " a novel framework for supporting knowledge capturing in videos. The Virtual Assistant is an artificial agent that simulates a human assistant shown in TV programs and prompts users to provide feedback by asking questions. This framework ensures that sufficient information is provided in the captured(More)
This paper presents a semi-automatic indexing method for " QUEVICO " — A QA model for video-based interactive media. We first provide an overview of QUEVICO, and then discuss which indices are acquired from the scenario and which must be acquired by manual or automated processing. To obtain these indices, we implemented a prototype system whose processes(More)