Solving the multiple instance problem with axis-parallel rectangles
Artificial Intelligence
Detecting topical events in digital video
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Localized Content-Based Image Retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
Localized Content Based Image Retrieval with Self-Taught Multiple Instance Learning
ICDMW '09 Proceedings of the 2009 IEEE International Conference on Data Mining Workshops
Lecture Video Enhancement and Editing by Integrating Posture, Gesture, and Text
IEEE Transactions on Multimedia
Real-Time Visual Concept Classification
IEEE Transactions on Multimedia
Concept-oriented indexing of video databases: toward semantic sensitive retrieval and browsing
IEEE Transactions on Image Processing
Summarization of videotaped presentations: automatic analysis of motion and gesture
IEEE Transactions on Circuits and Systems for Video Technology
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We propose a multiple instance learning approach to content-based retrieval of classroom video for the purpose of supporting human assessing the learning environment. The key element of our approach is a mapping between the semantic concepts of the assessment system and features of the video that can be measured using techniques from the fields of computer vision and speech analysis. We report on a formative experiment in content-based video retrieval involving trained experts in the Classroom Assessment Scoring System, a widely used framework for assessment and improvement of learning environments. The results of this experiment suggest that our approach has potential application to productivity enhancement in assessment and to broader retrieval tasks.