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Document management has become an important consideration for the scientific community over the last decade. Human knowledge is central to many scientific domains, thus it is not possible to completely automate the document management process. Managing scientific documents require a semi-automatic approach to overcome issues of large volume, yet support the human participation in the process. In this...
We introduce a general framework to index and retrieve people's appearance using their faces and names. All frontal faces are extracted from video programs and are grouped into clusters using temporal and visual information. These clusters are annotated by a semi-supervised method in which users help to annotate a small number of faces, and correct annotations suggested by the system. Once faces are...
In this paper, we study the performance of global features and local features for the semantic concept detection problem, which is a crucial task for video indexing and retrieval applications. We have performed a comprehensive evaluation of these features on TRECVID datasets that are used in the concept detection benchmark from 2005 to 2009. The experimental results show that with appropriate choice...
Pervasive computing systems including smart phones, home computing systems, or intelligent home appliances collect and store more and more information about users. The amount of information that is constantly being accumulated for each user is enormous. Collected information comprises the user's digital data like messages, online social network connections, or tweets and the user's physical context...
This paper proposes a novel recognition scheme for semantic labeling of 2D objects present in still images. The principle consists of matching unknown 2D objects with categorized 3D models in order to associate the semantics of the 3D object to the image. We tested our new recognition framework by using the MPEG-7 and Princeton 3D model databases in order to label unknown images randomly selected...
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