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The conventional approaches for habitats mapping based on supervised algorithms need a seabed ground truth classes to know the entire seabed types before the training phase. These approaches give satisfying results only when a comprehensive training set is available. If the training set lacks a particular kind of seabed, it will be unknown for the classifier and the classification will be reduced...
Noise is inherent in digital systems. To smooth a point cloud while preserving sharp edges, a new 3D bilateral filter is proposed. It uses the point cloud normal vector in addition to color as a position vector for preserving sharp edges while smoothing the color. The bilateral blurs data while preserving strong edges. In 2D images, the concept of edge is defined by an abrupt change in color. In this...
The soft biometric traits such as distinctive skin markings, tattoos based on its visual and demographic of tattoo are mostly used to identify a suspect or a victim in forensic sciences. Nevertheless, in many scenarios, police investigators type in the description of a suspect's tattoo based on text search, therefore these classifications make it difficult to recognize associated tattoo, for example,...
Sophisticated consumers and highly competitive environment has forced designers and manufacturers to realize the importance of consumer emotion in creative product design. Kansei Engineering (KE) is a technology that enables discovery of consumer's emotions when interacting with a product and use them to formulate a guide in designing products that can win consumers in a competitive market. However,...
Video shot boundary detection is the process of automatically detecting the meaningful boundary in video data. It becomes an essential pre-processing step to video analysis, summarisation and other content-based retrieval. Video frame feature representation also plays an important role in the process where it directly affects to the performance of the system. Histogram dissimilarity-based with the...
This paper proposes an image green enhancement method based on luminance and hue. In the current algorithm, there are two main issues, i.e., the presence of over-saturation and color deviation, which can not satisfy people's demands for stronger green enhancement. To solve these problems, the correct mathematical model about luminance on chrominance constraint relations is proposed and an appropriate...
This paper describes an approach for the detection of stationary crabs of various sizes in underwater images. Specific issues related to underwater imaging such as low contrast and non-uniform lighting are addressed by the pre-processing step. The segmentation step is based on colour, size, and shape considerations. Segmentation identifies regions that potentially correspond to crabs. The shape of...
The increasing scientific and economic interest in the visual exploration and monitoring of marine areas is creating huge amounts of new underwater image and video data and approaches to computationally assisted analysis are desperately needed. In this paper we propose an image patch feature representation concept, the Bag of Prototypes (BoP), to cope with the individual problems in underwater image...
A new hyper-spectral data set is at hand giving unique possibilities for investigating also multi-scale evidence fusion. In this contribution self-organizing maps are used for semi-supervised learning and visualization of the partially labeled data. The maps reveal that the seven classes given can be better distinguished using certain color and rotationally invariant texture features on the high-resolution...
Optical Flow estimation is used to estimate displacement vectors for each pixels in two frames of a video. This displacement vector says how quickly a pixel is moving across the image and direction of movement of each pixel. According to the direction of movement, a color is assigned to each flow vector and intensity of color varies according to the magnitude of velocity. In this paper, optical flow...
This paper proposes an efficient approach to retarget video based on stretch ability-aware block scaling. The static stretch ability of the frame image is first evaluated based on gradient, saliency and color features. Then the dynamic stretch ability of the frame image is determined through the mapping of blocks under the constraint of optical flow vectors. Based on the analysis of frame image dynamic...
In the field of underwater imaging it is often necessary to pre-process images to homogenize image quality across a whole image transect and to compensate variations in imaging conditions. A variety of pre-processing methods have been developed in recent years to overcome different problems occurring in underwater imaging, hence performing different on different image sets. Protocols for an objective...
Robust and efficient detection of cars in urban scenes has many useful applications. This paper introduces a framework for car detection from high-resolution satellite images, wherein a novel extended image descriptor is used to depict the geometric, spectral and colour distribution properties of cars. The proposed framework is based on a sliding-window detection approach and it begins with a pre-prepossessing...
Inspired by the human vision system, in this paper we propose a specifically organized kind of center-surround contrast features and show their suitability for pedestrian detection. These contrasts are computed from a novel combination of both local color and gradient statistics aggregated quickly for arbitrary sized square cells. We exploit our contrast features in a rich multi-scale and -direction...
Most of the open challenges in person re-identification arise from the large variations of human appearance and from the different camera views that may be involved, making pure feature matching an unreliable solution. To tackle these challenges state-of-the-art methods assume that a unique inter-camera transformation of features undergoes between two cameras. However, the combination of view points,...
Identification of writers of handwritten historical documents is an important and challenging task. In this paper we present several feature extraction and classification approaches for the identification of writers in historical Arabic manuscripts. The approaches are able to successfully identify writers of multipage documents. The feature extraction methods rely on different principles, such as...
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...
In this work, we focus on the novel problem of analyzing individual user's behavioral patterns regarding images shared on social forums. In particular, we view diverse user activities on social multimedia services as an economy, where the first activity mode of sharing or posting is interpreted as supply, and another mode of activity such as commenting on images is interpreted as consumption. To characterize...
The overall method used for determining disparity in a stereo setup is a widely recognized framework consisting of four steps of cost space computation, cost aggregation, disparity selection, and post-processing. In this paper a cost aggregation approach for a typical local disparity estimation method is introduced. The method introduced is built on top of an existing method called Adaptive Support-Weight...
In this paper we present work on the development of a system for automated classification of digitized H&E histopathology images of prostate carcinoma (PCa). In our system, images are transformed into a tiled grid from which various texture and morphological features are extracted. We evaluate the contribution of high-level morphological features such as those derived from tissue segmentation...
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