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In this paper we introduce a novel representation for the classification of 3D images. Unlike most current approaches, our representation is not based on a fixed pyramid but adapts to image content and uses image regions instead of rectangular pyramid scales. Image characteristics, such as depth and color, are used for defining regions within images. Multiple region scales are formed in order to construct...
In this paper, we present a novel method for the simulation of walking conditions and the generation of artificial subjects that are used for the application of Linear Discriminant Analysis. The proposed method works efficiently in situations where only one gallery sequence with one gait cycle is available for each subject in the database. The proposed method was experimentally assessed in combination...
We present a novel scheme for the transmission of H.264/AVC video streams over packet loss networks. The proposed scheme exploits the error resilient features of H.264/AVC codec and employs Reed-Solomon codes to protect effectively the streams. A novel technique for adaptive classification of macroblocks into three slice groups using Flexible Macroblock Ordering is also proposed. The optimal classification...
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