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Smart TVs allow consumers to watch TV, interact with applications, and access the Internet, thus enhancing the consumer experience. However, the consumers are still unable to seamlessly interact with the contents being streamed, as it is highlighted by TV-enabled shopping. For example, if a consumer is watching a TV show and is interested in purchasing a product being displayed, the consumer can only...
In this paper, a new unified framework of the face tracking is presented. It is based on a new tracking-by-detection tracker. Three different face detectors are utilized in the tracker. By exploiting the spatio-temporal constraint between the intra and inter frames, a Bayesian formulation is proposed to merge different detections from the three detectors and link the faces into tracks. In addition,...
Despite the success in the last two decades, the state-of-the-art face detectors still have problems in dealing with images in the wild for the large appearance variations. Instead of taking appearance variations as black boxes and leaving them to statistical learning algorithms, we propose a structural face model to explicitly represent them. Our hierarchical part based structural face model enables...
The explosive growth in image sharing via social networks has produced exciting opportunities for the computer vision community in areas including face, text, product and scene recognition. In this work we turn our attention to group photos of people and ask the question: what can we determine about the social subculture or urban tribe to which these people belong? To this end, we propose a framework...
This paper is on homonymous distributed systems where processes are prone to crash failures and have no initial knowledge of the system membership (``homonymous'' means that several processes may have the same identifier). New classes of failure detectors suited to these systems are first defined. Among them, the classes and are introduced that are the homonymous counterparts of the classes...
State-of-the-art systems for generic concept detection rely on low-level features, and in some cases additionally on features based on face detection, optical character recognition and/or speech recognition. In this paper, an approach for the task of semantic video retrieval is presented that systematically utilizes results of specialized object detectors. Using these object detectors trained on separate...
Current researches toward solving personal photo management suffered two problems: (1) lacking of training data, and (2) no consolidated reference for classification. In this paper, we propose an automated annotation framework to address these problems. The framework was composed by three main components: the context information generator, the semantic concept detector, and the face recognition model...
This paper presents a novel viewer counter for an environment in which a stationary camera can count the number of people watching an electronic billboard without counting the repetitions in real time video streams. The potential buyers actually watching an advertisement or merchandise are captured via frontal face detection techniques. To count the number of viewer precisely, the problem of occlusions...
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