Multimedia Tools and Applications

A high precision image segmentation algorithm using SLIC and neighborhood rough set is proposed. The algorithm mainly includes two stages: the stage of superpixel generation and the mergence stage based on neighborhood rough set. In superpixel ...

Coral reef image classification with the help of its texture features is a challenging task, due to its variation in class samples. This is achieved with the proposed feature descriptor termed as Octa-angled Pattern for Triangular sub region (OPT) which ...

With recent advancement in Sensors technology, multimedia data has been exponentially generated every day. As a result, there is always a huge demand for fast data processing and storage. In order to effectively acquire and process such a huge amount of ...

Non-rigid point set registration is often encountered in meical image processing, pattern recognition, and computer vision. This paper presents a new method for non-rigid point set registration that can be used to recover the underlying coherent spatial ...

Achieving joint segmentation and recognition of continuous actions in a long-term video is a challenging task due to the varying durations of actions and the complex transitions of multiple actions. In this paper, a novel discriminative structural model ...

A new method is proposed to adaptively compute the disparity of stereo matching by choosing one of the alternative disparities from local and non-local disparity maps. The initial two disparity maps can be obtained from state-of-the-art local and non-...

This paper aims to provide a comprehensive reference source on depth-based human motion descriptors. Motion description is a challenging problem which became popular with recent advances in 3D computer vision. Our purpose is twofold. First, we introduce ...

Grenade throwing is a routine military training and testing subject among many armies of the world. However, the conventional manual measurement mode has many defects: poor efficiency, large training field needing and important data losing. So how to ...

Recently, digital watermarking has become an important technique to preserve patients' privacy in telemedicine applications. Since, medical information are highly sensitive, security of watermarked medical images becomes a critical issue in telemedicine ...

Intellectual Property such as music, painting, videos and other similar works being broadcasted on web need to be protected against copyright infringement to ensure the rights of their legitimate owners. Moreover, their users must also be sure of the ...

In recent years, the detection of a human face from the video has become an interesting research topic due to the video surveillance and other security issues. Efficient face detection from the video has become an immense need as it can provide various ...

Severe speckle noise existed in synthetic aperture radar (SAR) image presents a challenge to image segmentation. Though some traditional segmentation methods for SAR image have some success, most of them fail to consider segmentation effects and ...

Creating copy-move forgery became even easier using a wide range of software and platforms. Many algorithms have been proposed to solve the problem, but each one of those algorithms has its own drawbacks. Researchers face many challenges in developing ...

Here we propose a unique anti-forensics method using the approximation of DCT coefficients for security analysis of forensics schemes that are dependent on the distortions produced by JPEG compression to detect forgery. Approximation process first ...

In this paper, cat optimization algorithm for feature extraction in satellite image has been proposed. In cat optimization, cost function computes the pixel in the satellite image to preserve the boundary shape and avoid non-convex part of the contour ...

In order to construct 3D meshes from a single image quickly and intuitively, this paper presents a 3D reconstruction method based on control point grid. The key idea is to calculate the 2D control point grid of the target area and elevate each control ...

In this paper, a novel method is proposed to detect the aligned double JPEG compression with different quantization matrix. The proposed method is based on the theory that the correlation among adjacent coefficients of frequency spectrum in DCT blocks ...

A novel ghost-free exposure fusion method for generating an HDR image of a dynamic scene is presented in this paper. Given a sequence of input images with gradually increased exposures, due to the theory that the luminance is linearly depended on the ...

Light field imaging can capture both spatial and angular information of a 3D scene and is considered as a prospective acquisition and display solution to supply a more natural and fatigue-free 3D visualization. However, one problem that occupies an ...

This paper proposes a new temporal error concealment algorithm in H.264 video sequences based on scene change detection and PCA model. In order to detect scene change, dynamic threshold and image similarity metric are presented using coding prediction ...

Normal mapping is one of the most important methods for photorealistic rendering. It preserves geometric attribute values on a simplified mesh. A normal map stores normal vectors for high-quality meshes in a 2D form. A simplified model is then rendered ...

Automatic image annotation is one of the fundamental problems in computer vision and machine learning. Given an image, here the goal is to predict a set of textual labels that describe the semantics of that image. During the last decade, a large number ...

Existing image fusion methods can not efficiently capture significant edges, texture and fine details of the source images due to inefficient fusion framework. In addition, for objective evaluation of fusion algorithms, not much attention is given to ...

In this study presents an improved classification and feature reduction techniques are newly introduced in our proposed search area of image retrieval. Especially we are including a shape feature that has been so active and successful in the past few ...

A machine cannot easily understand and interpret three-dimensional (3D) data. In this study, we propose the use of graph matching (GM) to enable 3D motion capture for Indian sign language recognition. The sign classification and recognition problem for ...

Internet protocol television (IPTV), which is quickly growing in popularity, can provide hundreds of channels; however, finding a desired IPTV channel among hundreds of channels is a difficult and time consuming issue. Since the very big number of ...

The convolutional neural network (CNN) features can give good description of image content, which usually represent an image with a single feature vector. Although CNN features are more compact than local descriptors, they still cannot efficiently deal ...

A novel image fusion technique is presented, aiming at resolving the fusion problem of noisy images. In this paper, a new activity level measurement based on consecutive pixel intensity similarity is proposed for detecting the noise free and noisy parts ...

Existing methods of smoky vehicle detection from the traffic flow are inefficiency and need a large number of workers. To solve this issue, we propose an automatic smoky vehicle detection method based on multi-feature fusion and ensemble back-...

With the explosive growth of personal photos, an effective classification tool is becoming an urgent need to organize our progressive image collections. Facing the dynamically growing collections, we present a new method to categorize images effectively ...