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This paper presents an efficient region-based WP (weighted prediction) with global brightness change detection for real-time H.264 encoder. We improve WP for local brightness changes using the reference reordering, without additional memory bandwidth and computation for ME (motion estimation). We also show that the region-based WP can be extended to an MB-based WP with the marginal increase of computation,...
Object tracking, whose goal is to estimate the location of a target of interests, is one of the key issues in applications of wireless sensor networks (WSNs). Recently, various target tracking methods were proposed, especially using learning techniques such as neural network and support vector machine (SVM). This paper presents two SVM-based learning approaches for target tracking using WSNs. In the...
Even though state-of-the-art digital cameras are equipped with auto-focusing and motion compensation functions, several other factors including limited contrast, inappropriate exposure time and improper device handling can still lead to unsatisfactory image quality such as blurriness. Indeed, blurry images make up a significant percentage of anyone's picture collections. Consequently, an efficient...
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