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Determining the make and model of an image's source camera is an important forensic problem. While significant research has been conducted towards developing new camera model identification algorithms, little research has focused on controlling the computational cost of these algorithms. This becomes an important issue if forensic algorithms are to be used in “big data” scenarios. In this paper, we...
A number of applications in video analysis rely on a perframe motion segmentation of the scene as key preprocessing step. Moreover, different settings in video production require extracting segmentation masks of multiple moving objects and object parts in a hierarchical fashion. In order to tackle this problem, we propose to analyze and exploit the compositional structure of scene motion to provide...
Person re-identification is the process of recognizing a person across a network of cameras with non-overlapping fields of view. In this paper we present an unsupervised multi-shot approach based on a patch-based dynamic appearance model. We use deformable graph matching for person re-identification using histograms of color and texture as features of nodes. Each graph model spans multiple images...
Dehazing is an image enhancing technique that emerged in the recent years. Despite of its importance there is no dataset to quantitatively evaluate such techniques. In this paper we introduce a dataset that contains 1400+ pairs of images with ground truth reference images and hazy images of the same scene. Since due to the variation of illumination conditions recording such images is not feasible,...
Detecting pedestrians in groups and cluttered scenes is one of the most important technology in computer vision. We observe that contour is often an important factor to distinguish pedestrian from others. The particular contour structure of pedestrian head, upper body and lower body becomes the key in pedestrian detection. Inspired by the connection of these three components of pedestrian, a pedestrian...
Visual attention plays an important role in human visual system, helping people to attend to things even before recognition. By its functionality, it can be treated as three kinds: SBA (spatial-based attention), OBA (object-based attention), and FBA (feature-based attention). Early works that model the mechanism of visual saliency mainly concern only one aspect of saliency. Recently, it has been shown...
The current versions (v2.3) of AustinMan and AustinWoman anatomical voxel models are presented with the methodology used to generate them from the Visible Human Project's color cross-sectional anatomical images. Both models are freely available online and documented in detail to increase their reproducibility. Visualizations of the models are shown to highlight their complexity.
In this paper, a simple method is proposed for detecting salient regions by utilizing muti-scale features at a superpixel-based level. To guarantee the accuracy of the detected region, we make use of superpixel to form a new measurement, instead of using the level of pixel. Majority of saliency models consider visual features such as orientation, color, intensity and the importance of visual features...
A background model describes a scene without any foreground objects and has a number of applications, ranging from video surveillance to computational photography. Recent studies have introduced the method of Dynamic Mode Decomposition (DMD) for robustly separating video frames into a background model and foreground components. While the method introduced operates by converting color images to grayscale,...
As a basic operation, image saliency detection has been widely used in various applications. Many approaches have been proposed to detect salient regions. In this study, we learn to detect salient curves of cartoon images based on composition rules. We formulate the detection problem as a binary labeling task where we separate salient curves from the whole curve structures extracted from the cartoon...
Concerning the diversity of packing filter rods' defect type and low efficiency of traditional artificial detection methods, in order to detect the defect more effectively, an approach to detect packing filter rods based on visual saliency was proposed. The images of packing filter rods were utilized to be clipped and high quality saliency cut, then to extract various effective saliency features to...
The region of interests (ROI) detection plays an important role in the remote sensing data processing and analysis. In this paper, a new region of interest detection method based on salient feature clustering for remote sensing images is proposed. Four steps are included in the proposed method. First, the information salient feature maps are constructed by computing the spectrum information and histograms...
Utilizing object proposals as a preprocessing procedure has been shown its significance in many multimedia computing tasks. Most state-of-the-art methods devoted to finding a generic objectness measure for rating the possibilities of the initial sliding windows with or without objects. In fact, the object criteria vary from one objectness measure to another, which leads to the definite bottleneck...
Saliency computational model with active environment perception can substantially facilitate a wide range of applications. Conventional saliency computational models primarily rely on hand-crafted low level image features, such as color or contrast. However, they may face great challenges in low lighting scenario, due to the lack of well-defined feature to represent saliency information in low contrast...
Predicting the salient regions of a comic book panel has the potential to drive a variety of applications such as segmentation, cropping, effects such as moves on stills, etc. Computational saliency algorithms have been widely tested on a variety of natural images, and extensively benchmarked. We report the performance of four saliency algorithms on a set of comic panels taken from public domain legacy...
In this paper, we propose a computational model of visual attention for stereoscopic video. Low-level visual features including color, luminance, texture and depth are used to calculate feature contrast for spatial saliency of stereoscopic video frames. Besides, the proposed model adopts motion features to compute the temporal saliency. Here, we extract the relative planar and depth motion for temporal...
Fine-scale classification in form of object extraction or segmentation for high resolution SAR images is a challenging task due to the existing local noises, object deformation and part missing. A novel SAR classification method based on CRFs which combines low-level features, label context and object structure priors is presented in this paper. Local label pattern is proposed in this paper to model...
Studies on computer-based visual perception and aesthetical judgment for architectural design are presented. In the model, both color and the geometric aspects of human vision are jointly taken into account, quantifying the perception of an individual object, as well as a scene consisting of several objects. This is accomplished by fuzzy neural tree processing. Based on the perception model, aesthetical...
This paper introduces new online tools to create fuzzy color spaces and share them with researchers in computational color modeling. Fuzzy color spaces, which are able to fill the semantic gap between the color representation in computers and the subjective human perception, are built according to an approach proposed by the authors in previous works. The methodology for building fuzzy color spaces...
To support ground experiments for multi-sensor fusion in remote sensing, it is necessary to efficiently simulate realistic sensor images at various spatial scales from a few meters to thousands of meters and different sensor supports. The RAPID model, Radiosity Applicable to Porous Individual object, was enhanced to landscape scale (1 km) with natural vegetation and artificial opaque objects as well...
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