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Display devices at bit-depth of 10 or higher have been mature but the mainstream media source is still at bit-depth as low as 8. To accommodate the gap, the most economic solution is to render source at low bit-depth for high bit-depth display, which is essentially the procedure of de-quantization. Traditional methods, like zero-padding or bit replication, introduce annoying false contour artifacts...
Object proposal, typically served as preprocessing of various multimedia applications, aims to detect the bounding boxes of possible objects in an image. In this paper, we propose a novel object proposal method for RGB-D images based on layered edges, which can effectively eliminate the influence of the mixture of edges from objects and background and improve the accuracy of proposals. Firstly, we...
The depth image has greatly broadened various applications of computer vision, however, it is seldom explored in the field of salient object detection. In this paper, we propose a learning-based approach for extracting saliency from RGB-D images. For best fitting the contrast-based stimulus that guides the saliency search in human vision system, massive visual attributes that are extracted from several...
Image retrieval methods based on the Scale Invariant Feature Transform (SIFT) algorithm have good performance except for the characteristics of time-consuming and high dimension feature vectors. This paper realizes an improved image retrieval method combining saliency maps with SIFT. The saliency map algorithm is used to define and detect the visually salient image regions which will be used in feature...
Graph cut based interactive segmentation is useful to extract objects from images. Color and gradient constraints are two terms appearing in most of energy functions of related methods. In order to balance the two constraints, state-of-theart methods adopt a pre-given fixed weight. However, different images and even different parts in a single image have different demands for proportion of the two...
In order to study the feasibility of the computerized grading system of pears with rich spots, large amount of pears are put orderly in a light box, where images of different aspects of them are captured by cameras which are connected to the computer. Additionally, two methods are proposed to remove the spots on the surface of pears in the image to reduce their effect on defect detection. And advantages...
In order to realize the automatic grading system of pear's appearance quality based on computer vision, a grading system is constructed which includes hardware and software environment. It includes transport unit, control module, image acquisition module, and image processing and recognition module. It can realize automatic feature extraction. The features include shape, color and defect. According...
Whether the fractal images can be applied to design, depends on the degree satisfaction of users for images. In images, colors are the main visual factors of affecting emotion; it is used as the determinant in fractal images evaluation. The evaluation of color design is nonstatistical; it is easy to bring evaluating deviation because of personal bias. Using artificial neural network, the color psychological...
Performance improvements are quite significant for a complex protocol, such as BitTorrent protocol, but should take no harm to its functionality correctness as an inevitable precondition. In current performance analysis studies, various formal models are usually utilized to perform corresponding evaluations. However, most of those models do not support specifying and verifying the functionality for...
Hierarchical mobile management is designed to improve the performance of original Mobile IPv6 protocol. However, such improvements also introduce more complicated protocol behaviors. In order to effectively analyze the functionalities of this protocol, formal methods should be adopted. In this paper, a Colored Petri Nets (CPN) based formal model of Hierarchical Mobile IPv6 (HMIPv6) protocol is proposed...
In this paper, we propose a novel approach that combines particle filter tracking and 3D graph cut based segmentation to achieve silhouette tracking against drastic scale change and occlusion. The segmentation module offers particle filter tracking procedure the target shape information to compensate spatial information loss in the histogram based particle filter tracking process. Meanwhile, particle...
With the proliferation of online media services, video ads are pervasive across various platforms involving Internet services and interactive TV services. Existing research efforts such as Google AdSense and MSRA videosense/imagesense have been devoted to the less intrusive insertion of relevant textual or video ads in streams or Web pages through text/image/video content analysis whereas the inherent...
The performance of traditional image retrieval approaches remains unsatisfactory, as they are restricted by the wellknown semantic gap and the diversity of textual semantics. To tackle these problems, we propose an improved image retrieval framework when querying with an image. The framework considers not only the discriminative power of various visual properties but also the semantic representation...
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