Linking objects in videos by importance sampling
نویسندگان
چکیده
منابع مشابه
Supporting Ubiquitous Learning by Linking Physical Objects and Videos
This paper proposes a personal learning assistant called LORAMS (Link of RFID and Movies System), which supports the learners with a system to share and reuse learning experience by linking movies and environmental objects. These movies are not only kind of classes’ experiments but also daily experiences movies. LORAMS can infer some contexts from objects around the learner, and search for shar...
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The paper presents LORAMS personal learning assistant to support reuse of user's learning experiences. The system take into consideration the learning context (situation) of a user captured as movies linked with RFID tags. We think that these videos are very useful to learn various kinds of subjects. The system is evaluated in a study in the domain of cooking.
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This paper proposes a personal learning assistant called LORAMS (Link of RFID and Movies System), which supports the learners with a system to share and reuse learning experience by linking movies and environmental objects. These movies are not only kind of classes’ experiments but also daily experiences movies. Therefore, you can share these movies with other people. LORAMS can infer some cont...
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This paper proposes a personal learning assistant called LORAMS (Link of RFID and Movies System), which supports learners with a system to share and reuse learning experiences by linking movies to environmental objects. We assume that every object has RFID tags and mobile devices have a RFID reader and can record a video anytime and anyplace. By scanng RFID tags of real objects, LORAMS can prov...
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Complex events consist of various human interactions with different objects in diverse environments. The evidences needed to recognize events may occur in short time periods with variable lengths and can happen anywhere in a video. This fact prevents conventional machine learning algorithms from effectively recognizing the events. In this paper, we propose a novel method that can automatically ...
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