EURASIP Journal on Image and Video Processing

http://link.springer.com/journal/13640

List of Papers (Total 532)

Spatio-temporal information for human action recognition

Human activity recognition in videos is important for content-based videos indexing, intelligent monitoring, human-machine interaction, and virtual reality. This paper uses the low-level feature-based framework for human activity recognition which includes feature extraction and descriptor computing, early multi-feature fusion, video representation, and classification. This paper...

A classification of on-road obstacles according to their relative velocities

The systems based on image processing have numerous applications in the domain of motion control of robots and autonomous vehicles. The current paper is oriented to the solution of the problem that precedes the implementation of automatic avoidance of the on-road obstacles—how to detect them, to track in the sequence of images, and to recognize which of them are stationary...

Sequential Monte Carlo filter based on multiple strategies for a scene specialization classifier

Transfer learning approaches have shown interesting results by using knowledge from source domains to learn a specialized classifier/detector for a target domain containing unlabeled data or only a few labeled samples. In this paper, we present a new transductive transfer learning framework based on a sequential Monte Carlo filter to specialize a generic classifier towards a...

Multithreading cascade of SURF for facial expression recognition

We propose a novel and general framework called the multithreading cascade of Speeded Up Robust Features (McSURF), which is capable of processing multiple classifications simultaneously and accurately. The proposed framework adopts SURF features, but the framework is a multi-class and simultaneous cascade, i.e., a multithreading cascade. McSURF is implemented by configuring an...

Single image super-resolution by directionally structured coupled dictionary learning

In this paper, a new algorithm is proposed based on coupled dictionary learning with mapping function for the problem of single-image super-resolution. Dictionaries are designed for a set of clustered data. Data is classified into directional clusters by correlation criterion. The training data is structured into nine clusters based on correlation between the data patches and...

An adaptive gamma correction for image enhancement

Due to the limitations of image-capturing devices or the presence of a non-ideal environment, the quality of digital images may get degraded. In spite of much advancement in imaging science, captured images do not always fulfill users’ expectations of clear and soothing views. Most of the existing methods mainly focus on either global or local enhancement that might not be...

Writer verification based on a single handwriting word samples

The writer recognition task has received a lot of interests during the last decade due to it wide range of applications. This task includes writer identification and/or writer verification. However, all the researches assumed that they dispose of a large amount of text to identify or authenticate the writer, which is never the case in real-life applications. In this paper, we...

Low-power depth-based descending stair detection for smart assistive devices

Assistive technologies aim at improving personal mobility of individuals with disabilities, increasing their independence and their access to social life. They include mechanical mobility aids that are increasingly employed amongst the older people who rely on them. However, these devices might fail to prevent falls due to the under-estimation of approaching hazards. Stairs and...

Efficient and accurate document image classification algorithms for low-end copy pipelines

The copy mode selection, such as the text mode and photo mode, of a digital copy machine can provide suitable process and enhancement for the scanned image. To classify the scanned image without expensive hardware and reduce the running time, in this article, we designed an efficient automatic method for classifying a document image using a probabilistic decision strategy. The...

Image decomposition-based structural similarity index for image quality assessment

Perceptual image quality assessment (IQA) adopts a computational model to assess the image quality in a fashion, which is consistent with human visual system (HVS). From the view of HVS, different image regions have different importance. Based on this fact, we propose a simple and effective method based on the image decomposition for image quality assessment. In our method, we...

Image splicing detection based on inter-scale 2D joint characteristic function moments in wavelet domain

In this paper, we propose an image splicing detecting method using the characteristic function moments for the inter-scale co-occurrence matrix in the wavelet domain. We construct the co-occurrence matrices by using a pair of wavelet difference values across inter-scale wavelet subbands. In this process, we do not adopt the thresholding operation to prevent information loss. We...

A parallel camera image signal processor for SIMD architecture

An image signal processor (ISP) for a camera image sensor consists of many complicated functions; in this paper, a full chain of the ISP functions for smart devices is presented. Each function in the proposed ISP full chain is designed to handle high-quality images. Every function in the chain is fully converted to a fixed-point arithmetic, and a special function is not used for...

Towards key-frame extraction methods for 3D video: a review

The increasing rate of creation and use of 3D video content leads to a pressing need for methods capable of lowering the cost of 3D video searching, browsing and indexing operations, with improved content selection performance. Video summarisation methods specifically tailored for 3D video content fulfil these requirements. This paper presents a review of the state-of-the-art of...

Gradient-based global features for seam carving

We propose a gradient-based global feature and its application to seam carving. We focus on areas, rather than points and lines, to be assigned as important elements for expressing the rough location of salient objects in an image. The proposed feature is calculated with a low computational load based on gray-scale intensity. The superior performance of the proposed gradient...

Anisotropic mesh adaptation for image representation

Triangular meshes have gained much interest in image representation and have been widely used in image processing. This paper introduces a framework of anisotropic mesh adaptation (AMA) methods to image representation and proposes a GPRAMA method that is based on AMA and greedy-point removal (GPR) scheme. Different than many other methods that triangulate sample points to form...

Real-time virtual view synthesis using light field

Virtual view synthesis technique renders a virtual view image from several pre-collected viewpoint images. The hotspot on virtual view synthesis area is depth image-based rendering (DIBR), which has low one-time imaging quality. To achieve high imaging quality artifacts, the holes must be inpainted after image warping which means high computational complexity. This paper proposed...

Joint processing and fast encoding algorithm for multi-view depth video

The multi-view video plus depth format is the main representation of a three-dimensional (3D) scene. In the 3D extension of high-efficiency video coding (3D-HEVC), the main framework for depth video is similar to that of color video. However, because of the limitation of the mainstream capture technologies, depth video is inaccurate and inconsistent. In addition, the depth video...

3D visual discomfort prediction using low complexity disparity algorithms

Algorithms that predict the degree of visual discomfort experienced when viewing stereoscopic 3D (S3D) images usually first execute some form of disparity calculation. Following that, features are extracted on these disparity maps to build discomfort prediction models. These features may include, for example, the maximum disparity, disparity range, disparity energy, and other...

Gait recognition based on the golden ratio

Gait is known to be an effective behavioral biometric trait for the identification of individuals. However, clothing has a dramatic influence on the recognition rate. Researchers have attempted to deal with this issue of clothing by segmenting parts of the gait images based on anatomical proportions. However, the clothing proportion is not the same as the anatomical proportion...

DIBR-synthesized image quality assessment based on morphological multi-scale approach

The depth-image-based rendering (DIBR) algorithms used for 3D video applications introduce new types of artifacts mostly located around the disoccluded regions. As the DIBR algorithms involve geometric transformations, most of them introduce non-uniform geometric distortions affecting the edge coherency in the synthesized images. Such distortions are not handled efficiently by...

Super-resolution via a fast deconvolution with kernel estimation

Image super-resolution has wide applications in biomedical imaging, computer vision, image recognition, etc. In this paper, we present a fast single-image super-resolution method based on deconvolution strategy. The deconvolution process is implemented via a fast total variation deconvolution (FTVd) method that runs very fast. In particular, due to the inaccuracy of kernel, we...

KCCA-based technique for profile face identification

During the last two decades, satisfactory results have been obtained for face identification techniques based on frontal pose. However, face identification from uncontrolled pose remains a challenging open problem in biometric recognition. Recently, pose invariant techniques that exploit either 3D scans or 2D images of the same face to generate the corresponding 3D model have...

A static video summarization method based on the sparse coding of features and representativeness of frames

This paper presents a video summarization method that is specifically for the static summary of consumer videos. Considering that the consumer videos usually have unclear shot boundaries and many low-quality or meaningless frames, we propose a two-step approach where the first step skims a video and the second step performs content-aware clustering with keyframe selection...

Flexible human action recognition in depth video sequences using masked joint trajectories

Human action recognition applications are greatly benefited from the use of commodity depth sensors that are capable of skeleton tracking. Some of these applications (e.g., customizable gesture interfaces) require learning of new actions at runtime and may not count with many training instances. This paper presents a human action recognition method designed for flexibility, which...