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.
Analyzing the spatial distribution of residential land and its spatial distribution relations with residential facilities and transportation facilities is of great reference value for the regional optimal allocation of human settlements and the balanced development of human settlements. This paper took Wuhan City Development Zone as an example, and used the sixth census data and survey data of urban...
In this paper, we propose a novel graph based spatiotemporal saliency detection method which models eye movements using random walk with restart. The method is executed in superpixel domain and unify low level features and high level features into the framework of random walk with restart. The boundary prior, as a high level feature, is employed to obtain a boundary prior based restarting distribution...
Recently, high dynamic range (HDR) image which can accurately reflect the real scene prompts increasing interest. For visualizing the HDR images on standard display devices, it is needed to convert it to low dynamic range (LDR) images. This process is named as tone-mapping. Due to the reduction of the dynamic range, evaluating the tone-mapped image becomes important. Gradient magnitude measure has...
Saliency detection of video sequences has attracted great attention in recent years. In this paper, we propose a saliency detection framework in the compressed domain. Spatial and temporal saliency map are derived by calculating mutual information of feature distribution between center window and surrounding window respectively. Motion vector is used to get the temporal saliency map, and features...
A novel visual saliency detection algorithm using ant colony optimization and spatiotemporal information in compressed videos is proposed in this paper. Firstly, a graph is constructed for each frame in the video by dividing it into blocks and taking the block as nodes. We extract spatial and temporal features of each node directly from the compressed bitstreams to form the heuristic matrixes. Each...
In this paper, a novel multiscale visual saliency detection algorithm combining spatiotemporal features and ant colony optimization is proposed. In the method, both the spatial information, such as luminance, chrominance and texture, and the temporal information, namely motion, are used to fulfill a better prediction of visual saliency. Besides, the information we use in the method are all extracted...
Saliency detection in videos has attracted great attention in recent years due to its wide range of applications. In this paper, a novel spatiotemporal saliency detection model based on clustering is proposed. The discrete cosine transform coefficients are used as features to generate the spatial saliency map firstly. We utilize 2D Gaussian function to estimate the absolute feature difference in consideration...
Saliency detection in videos has attracted great attention in recent years due to its wide range of applications, such as object detection and recognition. A novel spatiotemporal saliency detection model is proposed in this paper. The discrete cosine transform coefficients are used as features to generate the spatial saliency maps firstly. Then, a hierarchical structure is utilized to filter motion...
We develop an efficient general-purpose blind/no-reference image quality assessment (IQA) algorithm that utilizes curvelet domain features of phase congruency values and local spectral entropy values in distorted images. A 2-stage framework of distortion classification followed by quality assessment is used for mapping feature vectors to prediction scores. We utilize a support vector machine (SVM)...
In this paper, a hybrid no-reference video quality assessment based on region of interest (ROI) is proposed. Firstly, two types of ROIs, motion area and skin region are detected and integrated as the final ROI in each frame. Secondly, a blockiness measurement based on ROI in pixel domain is introduced. Then, the blurriness is measured in frequency domain, by using two-dimensional discrete cosine transform...
Multimedia security means protecting multimedia information and information systems from unauthorized access, use, disclosure, disruption, modification, inspection, recording and destruction. The “Video Copy Detection” system is based on detecting video copies from a video sample to avoid copyright violations. Video fingerprinting is one of methods for video copy detection, including steps of video...
In this paper, a novel Saliency-JND (S-JND) model has been proposed which combines the visual attention model and the visual sensitivity model together. The visual attention model can discover the saliency region where our eyes focus when viewing a video. The visual sensitivity model can define a threshold for unperceived distortions. More perceptual redundancy can be removed by using visual saliency...
An effective video coding should not only remove statistical redundancy but also take into account the characteristic of human visual system. Just noticeable difference (JND) represents the maximum distortion that cannot be perceived in a suitable viewing condition. In this paper, we introduce a foveated JND model combined with visual attention model. Though moving object always attracts viewer's...
H.265/HEVC aims to provide significant improvement of compression performance compared with previous coding standards at cost of significant computation complexity. In this paper, an adaptive CU mode decision mechanism (ACMD) based on Bayesian decision theory is proposed to accelerate mode selection procedure. Specifically, the homogeneous determination is firstly utilized to filter out non-split...
High Efficiency Video Coding (HEVC) is the latest video coding standard. It aims to provide significant improvement of compression performance with considerable increment of computational complexity, compared with all exiting video coding standards. In this paper, we propose an adaptive CU depth selection mechanism (ACDSM) for inter mode decision. To avoid unnecessary CU partition by rate distortion...
In this paper, we propose a novel frame-level rate control algorithm for videos with complex scene in High Efficiency Video Coding(HEVC). To achieve a constant bitrate output and reduce the mismatch ratio of bitrate for time varying wireless links, the relationship of content complexity, QP and bitrate is utilized to adjust bit allocation for each GOP and frame via linear extrapolation. In addition,...
Rate-distortion optimization is widely used in modern video codecs to make various encoder decisions in order to optimize the trade-off between bit-rate and quality. The distortion models used in HEVC are mean squared error (MSE) and sum of absolute difference (SAD), both of which are not always reflective of perceptual quality. In this paper, we show that SSIM, which has been found to be a good indicator...
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.