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Saliency detection aims to find the useful and attractive regions from an image. In many situations, there may be multiple objects in the image, and these objects may have equal attractiveness. Moreover, the appearance of pixels in one object may demonstrate large difference, which could lead to lose the object integrality when detecting saliency. To this end, this paper proposes a multi-saliency...
Depth map prediction is the key point in Free Viewpoint Video technique. Among current depth map estimation approaches, combined temporal and interview prediction method is the most practical one for hardware design and real time processing. It is based on block search inter-prediction on various block size to get the best estimation result with specific cost function. Although much data processing...
The Heihe River is the second largest inland river in the arid region of northwestern China. Water resources are the primary limiting factor for the sustainable development of economy and society in the Basin. The water requirement of vegetation is the link of the relationship between the status of natural vegetation and the groundwater level in the study area. With the decrease of water resource,...
Simultaneous localization and mapping (SLAM) problem of a mobile robot is studied in this paper. An improved particle filters approach is adopted to reduce the number of particles. A laser range finder is utilized to measure the distance of obstructs, and the accurate proposal distribution are obtained by scan match method, which is realized by a hierarchical iterative closest point (ICP) algorithm...
We present a novel method for object tracking using global and local states of object in video surveillance application. Most traditional object models using global appearance cannot handle partial occlusion effectively. The unoccluded part of partially visible object retains invariable appearance. Therefore, we introduce global and local dynamics model as our object model to overcome partial occlusion...
Multi-resource sharings among virtual machines (VM)are very important in data center, but also bring contentions for cache, disk and network in host server. Recent studies focus primarily on locally optimizing resource sharings in a single server, or global optimization of mitigating cache and memory contentions. But it remains an open question how to efficiently find optimal co-schedules for cache,...
Web news articles play an important role in stock market. Sentiment classification of news articles can help the investors make investment decisions more efficiently. In this paper, we implemented an approach of Chinese new words detection by using N-gram model and applied the result for Chinese word segmentation and sentiment classification. Appraisal theory was introduced into sentiment analysis...
Multiple view video coding (MVC) is key technology that serves a wide variety of applications, including FTV (free-viewpoint television), 3DTV (three dimensional television) and surveillance. Multi-view video consists of multiple views of the same scene in which there is a high degree of correlation between inter views and intra views. In this paper, a multi-view video coding method based on a new...
Generally, the code excited linear predictive (CELP) coding is known as one of the best algorithms for bit rate between 4 kbps and 16 kbps. Recently, the algebraic CELP (ACELP) algorithm has been widely adopted in standard speech coders such as G.729 and Adaptive multi rate (AMR) and AMR Wide Band (AMR-WB).In order to improve the speech quality based on CELP algorithm, harmonic Pitch pre-emphasis...
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