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3D-HEVC is a good coding solution for multi-view video plus depth data. It achieves good coding performance of synthesized views. However, depth intra coding brings unbearable complexity, which is the most urgent issue to be solved for the practical applications. Typically, depth maps have a good feature of structure or less texture compared with natural videos. Therefore, in this paper, a fast depth...
This paper proposes a fast algorithm to reduce the high computational complexity of depth map coding in 3D-HEVC, which obstructs 3D video from the practical applications. Due to the special feature of depth maps, depth modelling modes (DMMs) were developed to keep sharp edges for depth map. Consequently, the 3D-HEVC encoder can improve the coding performance of synthesized views significantly. However,...
To solve the problem that traditional resource allocation scheme does not take influence of cloud user behavior on resource allocation into consideration and has a static authorization process, this paper proposes resource allocation scheme based on access control (RASBAC), which introduces behavior trust into authorization process. This paper designs a calculation algorithm of behavior trust based...
The uniform intra prediction increases the intra prediction modes up to 35 and brings better coding efficiency in HEVC. Besides, depth modelling modes (DMMs) are introduced in depth intra coding of 3D-HEVC to preserve sharp edges and avoid ringing artifacts in a synthesized view. Meanwhile, the encoding time of depth intra coding rapidly increases due to a huge number of intra mode candidates. Based...
3D-HEVC is in the process of standardization as the highest profile extension of HEVC for 3D video coding, which supports the advanced 3D video format, namely multi-view videos plus depth (MVD). In order to preserve the sharp edges and avoid the ringing artifacts in the synthesized views, depth modelling modes (DMMs) are adopted into 3D-HEVC to achieve high coding efficiency. However, the computational...
The coding efficiency of 3D-HEVC can be improved significantly by adopting more intra modes in depth map coding, including up to 35 conventional HEVC intra prediction modes and 4 depth modelling modes (DMMs). However, traversing these modes dramatically results in unendurable high complexity. In this paper, we propose an efficient intra mode decision algorithm by taking advantage of the Low Complexity...
This paper presents a predictive model of solid oxide fuel cell (SOFC) stacks for thermal management by using a support vector machine (SVM). The operating temperature of the SOFC stack is the most important variable controlled for the generation system. To carry out the control research on the stack thermal management, the predictive model of the stack temperature must be established. The SOFC stack...
3D scanned technology has found its increasing application in computer animated movie and game. Due to the over density of scanned data, simplification becomes a crucial process. Many researches have been done in mesh-based (i.e. triangulated faces) simplifications. However, few are focused on preserving the completeness of skeleton semantic. And in sharply simplification case, the losing of skeleton...
Generally head tracking is based on the texture of face. The appearance template methods (skin-color-depended or texture) tracking results largely depend on a statistical color models obtained by observed image set for initialization. However, it remains an open problem on how to accurately initialize of models according to large variability in appearance of human with different clothing altering...
Human body scanning technology has a promising application in many fields such as anthropometric surveys, clothing design. Due to the properties of surface (e.g. parallel to camera, occlude, reflectance) cause holes or gaps on the Human Body scanned(HBS) data (e.g. corst, top of head) which challenged the HBS data in applications. Since scanned data usually got noise points near the hole or on the...
In this paper, we propose a new method of designing and constructing ldquogoodrdquo mappings defined by kernel functions for classification task, called Optimal Successive Mappings (OSM). Kernel methods, such as Support Vector Machines (SVM), could not provide satisfactory classification accuracy on some complicated data sets, which are still not linearly separable in feature space. It means kernels...
A method for embedding data in binary line drawing images is proposed. Under the condition that the width of digital lines is greater than or equal to three, the method uses the constraints of line drawings, and represents the digital lines by using a set of 3times3 rational meshes. Then the meshes whose central pixels are flippable are selected out to embed and extract data. Compared with other watermarking...
Blind steganalysis detects hidden message without any knowledge about steganographic method. To implement blind steganalysis, statistical model based on high-order wavelet decomposition is built to capture statistical difference between cover images and stego images. However, not all wavelet statistics are able to reflect well statistical changes due to hidden message embedded. Analysis of variance...
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