The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
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...
Diffusion-based salient region detection has recently received intense research attention. In this paper, we propose a salient region detection method based on the foreground and background propagation with manifold ranking. By considering the spatial variance of superpixel clusters, foreground and background seed regions are extracted preliminarily. Then, in order to produce a pixel-accurate saliency...
Salient region detection is to uniformly locate interest regions or objects in an image. It is a hot topic in computer vision, and has a wide range of applications like object recognition and segmentation. Although considerable progress has been made, salient region detection remains a challenging issue. In this paper we present a simple yet effective salient region detection approach by integrating...
On the base of edge detection using the K-means algorithm and an improved ant colony optimization (ACO), a novel image segmentation algorithm is proposed. The proposed method can enhance advantages and avoid disadvantages of edge-based and clustering methods by embedding the clustering in edge detection, combining them in a novel way. Since the clustering centers are determined roughly using K-means...
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 development of Free Viewpoint Video (FVV) technique is the most promising multimedia processing fields in recent years. Depth map prediction is the key method in FVV. There are many methods to estimate depth map. Among them, combined temporal and interview prediction method is the most practical which can save much data processing bandwidth, without additional hardware resources and computation...
The wall sequence images acquired by lateral multi-lens video logging method had some peculiarities that the overlap region of adjacent images can be estimated. This paper proposed an image mosaic algorithm which first estimated the overlap areas of adjacent images, and then matched for the areas with SIFT feature matching algorithm. To achieve seamless image stitching, the gradated in-and-out linear...
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...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.