In this paper, we propose a computationally efficient spacevarying dynamic range compression method based on statistical analysis. The proposed method reveals fine details without affecting already well-balanced region. For this goal, we introduce an effective segmentation method for distinguishing a damaged region from a well-balanced region. The statistical analysis and indirect use of the characteristics in segmented regions are introduced. In addition, to automate the full chain of dynamic range compression, we propose an enhancement condition which determines whether a certain image needs to be processed or not.
This paper presents a system that allows users to search for information about video content on a Smart TV. The proposed system has two major components: a Smart TV and a mobile device. The motion sensing interface in the Smart TV interprets gestures and requests the relevant information from the server. The mobile device displays search results using information received from the server. With the recent development of mobile visual search technology and motion sensing devices, experimental results confirm that the proposed system provides an efficient way to search for information via Smart TVs.
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