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This paper presents our latest work on identifying frame content types for understanding learning media content. In particular, we categorize frames into six classes namely, slide, Web-page, instructor, audience, picture-in-picture and miscellaneous, which make up salient narrative modes in learning videos. Various image and video analysis approaches are explored to achieve this task. Preliminary...
Content-based techniques enable retrieval of remotely sensed data based on low-level features. However, the deep gap between low-level features and high-level semantics concepts is a major obstacle to more effective image retrieval. Therefore, a semantics-based retrieval approach was implemented. The semantics classifiers are trained using heterogeneous features from a group of satellite images. The...
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