Articles

Variational Bayesian blind restoration reconstruction based on shear wave transform for low-dose medical CT image

A variational Bayesian blind restoration reconstruction based on shear wave transform for low-dose medical computed tomography (CT) image is proposed. The proposed algorithm eliminates the effects of the point...

Authors: Yunshan Sun, Liyi Zhang, Teng Fei and Xiaopei Liu

Textline detection in degraded historical document images

This paper presents a textline detection method for degraded historical documents. Our method follows a conventional two-step procedure that the binarization is first performed and then the textlines are extra...

Authors: Byeongyong Ahn, Jewoong Ryu, Hyung Il Koo and Nam Ik Cho

Recognition of identical twins using fusion of various facial feature extractors

Distinguishing identical twins using their face images is a challenge in biometrics. The goal of this study is to construct a biometric system that is able to give the correct matching decision for the recogni...

Authors: Ayman Afaneh, Fatemeh Noroozi and Önsen Toygar

A fast framework construction and visualization method for particle-based fluid

Fast and vivid fluid simulation and visualization is a challenge topic of study in recent years. Particle-based simulation method has been widely used in the art animation modeling and multimedia field. Howeve...

Authors: Fengquan Zhang, Zhaowei Wang, Jian Chang, Jianjun Zhang and Feng Tian

Predicting students’ attention in the classroom from Kinect facial and body features

This paper proposes a novel approach to automatic estimation of attention of students during lectures in the classroom. The approach uses 2D and 3D data obtained by the Kinect One sensor to build a feature set...

Authors: Janez Zaletelj and Andrej Košir

A feature fusion based localized multiple kernel learning system for real world image classification

Real-world image classification, which aims to determine the semantic class of un-labeled images, is a challenging task. In this paper, we focus on two challenges of image classification and propose a method t...

Authors: Fatemeh Zamani and Mansour Jamzad

Efficient AMP decision and search range adjustment algorithm for HEVC

The advanced video encoder High Efficiency Video Coding (HEVC) utilizes several novel coding tools so that it can obtain improvement in coding performance for a huge number of video data. However, these tools ...

Authors: Xinpeng Huang, Ping An and Qiuwen Zhang

Exploiting textures for better action recognition in low-quality videos

Human action recognition is an increasingly matured field of study in the recent years, owing to its widespread use in various applications. A number of related research problems, such as feature representatio...

Authors: Saimunur Rahman, John See and Chiung Ching Ho

Visual object tracking based on Motion-Adaptive Particle Filter under complex dynamics

This paper presents a novel particle filter called Motion-Adaptive Particle Filter (MAPF) to track fast-moving objects that have complex dynamic movements. The objective was to achieve effectiveness and robust...

Authors: Songxiao Cao, Xuanyin Wang and Ke Xiang

Multi-domain and multi-task prediction of extraversion and leadership from meeting videos

Automatic prediction of personalities from meeting videos is a classical machine learning problem. Psychologists define personality traits as uncorrelated long-term characteristics of human beings. However, hu...

Authors: Ahmet Alp Kindiroglu, Lale Akarun and Oya Aran

Content and buffer status aware packet scheduling and resource management framework for video streaming over LTE system

With the development of the video encoding and wireless communication technologies, DASH (Dynamic Adaptive Streaming over HTTP) services have an increasing and great share of all the mobile services. However, ...

Authors: Lijun He and Fan Li

Time-dependent bag of words on manifolds for geodesic-based classification of video activities towards assisted living and healthcare

In this paper, we address the problem of classifying activities of daily living (ADL) in video. The basic idea of the proposed method is to treat each human activity in the video as a temporal sequence of poin...

Authors: Yixiao Yun and Irene Yu-Hua Gu

A multiscale modified minimum spanning forest method for spatial-spectral hyperspectral images classification

This paper aimed to present a new method for the spectral-spatial classification of hyperspectral images, based on the idea of modified minimum spanning forest (MMSF). MMSF works on the obtained regions of pre...

Authors: Fereshteh Poorahangaryan and Hassan Ghassemian

Double regularization medical CT image blind restoration reconstruction based on proximal alternating direction method of multipliers

To solve the problem of CT image degradation, a double regularization CT image blind restoration reconstruction method was proposed. The objective function including both a clear image and point spread functio...

Authors: Jingyu Zhang, Yunshan Sun, Yuan Zhang and Jianfu Teng

A fast source-oriented image clustering method for digital forensics

We present in this paper an algorithm that is capable of clustering images taken by an unknown number of unknown digital cameras into groups, such that each contains only images taken by the same source camera...

Authors: Chang-Tsun Li and Xufeng Lin

JPEG Privacy and Security framework for social networking and GLAM services

Current image coding standards provide limited support for privacy and security features. An exception is the JPSEC standard, which defines security extensions in JPEG 2000 specifications (part 8). Notwithstan...

Authors: Frederik Temmermans, Touradj Ebrahimi, Siegfried Foessel, Jaime Delgado, Takaaki Ishikawa, Ambarish Natu and Peter Schelkens

An adaptive decision based interpolation scheme for the removal of high density salt and pepper noise in images

An adaptive decision based inverse distance weighted interpolation (DBIDWI) algorithm for the elimination of high-density salt and pepper noise in images is proposed. The pixel is initially checked for salt an...

Authors: Vasanth Kishorebabu, Ganesan Packyanathan, Harikrishna Kamatham and Vishnu Shankar

A novel search method based on artificial bee colony algorithm for block motion estimation

The large amount of bandwidth that is required for the transmission or storage of digital videos is the main incentive for researchers to develop algorithms that aim at compressing video data while keeping the...

Authors: Weiyu Yu, Dan Hu, Na Tian and Zhili Zhou

Classification of lung sounds using convolutional neural networks

In the field of medicine, with the introduction of computer systems that can collect and analyze massive amounts of data, many non-invasive diagnostic methods are being developed for a variety of conditions. I...

Authors: Murat Aykanat, Özkan Kılıç, Bahar Kurt and Sevgi Saryal

Quantitative comparison of motion history image variants for video-based depression assessment

Depression is the most prevalent mood disorder and a leading cause of disability worldwide. Automated video-based analyses may afford objective measures to support clinical judgments. In the present paper, cat...

Authors: Anastasia Pampouchidou, Matthew Pediaditis, Anna Maridaki, Muhammad Awais, Calliope-Marina Vazakopoulou, Stelios Sfakianakis, Manolis Tsiknakis, Panagiotis Simos, Kostas Marias, Fan Yang and Fabrice Meriaudeau

Improved reversible data hiding in JPEG images based on new coefficient selection strategy

Recently, reversible data hiding (RDH) techniques for JPEG images have become more extensively used to combine image and authentication information conveniently into one file. Although embedding data in JPEG i...

Authors: Fisseha Teju Wedaj, Suah Kim, Hyoung Joong Kim and Fangjun Huang

Segmentation-free optical character recognition for printed Urdu text

This paper presents a segmentation-free optical character recognition system for printed Urdu Nastaliq font using ligatures as units of recognition. The proposed technique relies on statistical features and em...

Authors: Israr Ud Din, Imran Siddiqi, Shehzad Khalid and Tahir Azam

Stereoscopic visual saliency prediction based on stereo contrast and stereo focus

In this paper, we exploit two characteristics of stereoscopic vision: the pop-out effect and the comfort zone. We propose a visual saliency prediction model for stereoscopic images based on stereo contrast and...

Authors: Hao Cheng, Jian Zhang, Qiang Wu, Ping An and Zhi Liu

Robust MRI abnormality detection using background noise removal with polyfit surface evolution

Image segmentation plays a vital role in MRI abnormality detection. This paper presents a robust MRI segmentation method to outline potential abnormality blobs. Thresholding and boundary tracing strategies are...

Authors: Changjiang Liu, Irene Cheng, Anup Basu and Jun Ye

Predicting the Sixteen Personality Factors (16PF) of an individual by analyzing facial features

We propose a novel three-layered neural network-based architecture for predicting the Sixteen Personality Factors from facial features analyzed using Facial Action Coding System. The proposed architecture is b...

Authors: Mihai Gavrilescu and Nicolae Vizireanu

Surface editing using swept surface 3D models

This paper presents a system for editing strip-like patches on the mesh using swept surface. The user first selects a rough cylinder-like region, the boundary of which is automatically refined. A swept surface...

Authors: Xiaohui Wang and Jingyan Qin

Patch-based models and algorithms for image denoising: a comparative review between patch-based images denoising methods for additive noise reduction

Digital images are captured using sensors during the data acquisition phase, where they are often contaminated by noise (an undesired random signal). Such noise can also be produced during transmission or by p...

Authors: Monagi H. Alkinani and Mahmoud R. El-Sakka

A two-stage algorithm for the early detection of zero-quantized discrete cosine transform coefficients in High Efficiency Video Coding

For High Efficiency Video Coding (HEVC) using block-based prediction, the discrete cosine transform (DCT), and quantization, a large number of DCT coefficients in a transform block (TB) are commonly found to b...

Authors: Wei-Gang Chen, Xun Wang and Yan Tian

The application of multi-modality medical image fusion based method to cerebral infarction

A multi-modality image fusion can process images of certain organs or issues which were collected from diverse medical imaging equipment. The fusion can extract complementary information and integrate into ima...

Authors: Yin Dai, Zixia Zhou and Lu Xu

COGNIMUSE: a multimodal video database annotated with saliency, events, semantics and emotion with application to summarization

Research related to computational modeling for machine-based understanding requires ground truth data for training, content analysis, and evaluation. In this paper, we present a multimodal video database, name...

Authors: Athanasia Zlatintsi, Petros Koutras, Georgios Evangelopoulos, Nikolaos Malandrakis, Niki Efthymiou, Katerina Pastra, Alexandros Potamianos and Petros Maragos

A robust iterative algorithm for image restoration

We present a new image restoration method by combining iterative VanCittert algorithm with noise reduction modeling. Our approach enables decoupling between deblurring and denoising during the restoration proc...

Authors: Yuewei Liu and Weiping Lu

Laban movement analysis and hidden Markov models for dynamic 3D gesture recognition

In this paper, we propose a new approach for body gesture recognition. The body motion features considered quantify a set of Laban Movement Analysis (LMA) concepts. These features are used to build a dictionar...

Authors: Arthur Truong and Titus Zaharia

Sparse signal subspace decomposition based on adaptive over-complete dictionary

This paper proposes a subspace decomposition method based on an over-complete dictionary in sparse representation, called “sparse signal subspace decomposition” (or 3SD) method. This method makes use of a nove...

Authors: Hong Sun, Cheng-wei Sang and Didier Le Ruyet

Low storage space for compressive sensing: semi-tensor product approach

Random measurement matrices play a critical role in successful recovery with the compressive sensing (CS) framework. However, due to its randomly generated elements, these matrices require massive amounts of s...

Authors: Jinming Wang, Shiping Ye, Yue Ruan and Chaoxiang Chen

Moving shadow detection based on stationary wavelet transform

Many surveillance and forensic applications face problems in identifying shadows and their removal. The moving shadow points overlap with the moving objects in a video sequence leading to misclassification of ...

Authors: Kavitha Nagarathinam and Ruba Soundar Kathavarayan

An evolutionary classifier for steel surface defects with small sample set

Nowadays, surface defect detection systems for steel strip have replaced traditional artificial inspection systems, and automatic defect detection systems offer good performance when the sample set is large an...

Authors: Mang Xiao, Mingming Jiang, Guangyao Li, Li Xie and Li Yi

Estimation of Bayer CFA pattern configuration based on singular value decomposition

An image sensor can measure only one color per pixel through the color filter array. Missing pixels are estimated using an interpolation process. For this reason, a captured pixel and interpolated pixel have d...

Authors: Jong Ju Jeon, Hyun Jun Shin and Il Kyu Eom

Calibration and rectification of vertically aligned binocular omnistereo vision systems

Omnidirectional stereo vision systems have been widely used as primary vision sensors in intelligent robot 3D measurement tasks, which require stereo calibration and rectification. Current stereo calibration a...

Authors: Chengtao Cai, Xiangyu Weng, Bing Fan and Qidan Zhu

The use of hidden Markov models to verify the identity based on facial asymmetry

This work concerns the use of biometric features, resulting from the look of a face, for the verification purposes. Different methods of selection and feature analysis during face recognition are presented her...

Authors: Mariusz Kubanek and Janusz Bobulski

Low-light image restoration using bright channel prior-based variational Retinex model

This paper presents a low-light image restoration method based on the variational Retinex model using the bright channel prior (BCP) and total-variation minimization. The proposed method first estimates the br...

Authors: Seonhee Park, Byeongho Moon, Seungyong Ko, Soohwan Yu and Joonki Paik

Noise-resistant network: a deep-learning method for face recognition under noise

Along with the developments of deep learning, many recent architectures have been proposed for face recognition and even get close to human performance. However, accurately recognizing an identity from serious...

Authors: Yuanyuan Ding, Yongbo Cheng, Xiaoliu Cheng, Baoqing Li, Xing You and Xiaobing Yuan

Improved gradient local ternary patterns for facial expression recognition

Automated human emotion detection is a topic of significant interest in the field of computer vision. Over the past decade, much emphasis has been on using facial expression recognition (FER) to extract emotio...

Authors: Ross P. Holder and Jules R. Tapamo

Adaptive video streaming over HTTP through 4G wireless networks based on buffer analysis

One of the main challenges in video transmission is understanding and adapting to the varying network bandwidth. The traditional approach of bandwidth estimation is not accurate as there are many factors like ...

Authors: L. Arun Raj, Dhananjay Kumar, H. Iswarya, S. Aparna and A. Srinivasan

Object detection using ensemble of linear classifiers with fuzzy adaptive boosting

The Adaboost (Freund and Schapire, Eur. Conf. Comput. Learn. Theory 23–37, 1995) chooses a good set of weak classifiers in rounds. On each round, it chooses the optimal classifier (optimal feature and its thre...

Authors: Kisang Kim, Hyung-Il Choi and Kyoungsu Oh

Efficient pavement crack detection and classification

Each year, millions of dollars are invested on road maintenance and reparation all over the world. In order to minimize costs, one of the main aspects is the early detection of those flaws. Different types of ...

Authors: A. Cubero-Fernandez, Fco. J. Rodriguez-Lozano, Rafael Villatoro, Joaquin Olivares and Jose M. Palomares

Damaged region filling and evaluation by symmetrical exemplar-based image inpainting for Thangka

Exemplar-based image inpainting, as proposed by Criminisi et al. (IEEE Trans Image Process 13(9):1200–1212, 2004), fills missing regions by using a similar exemplar. However, when the missing region is a uniqu...

Authors: Weilan Wang and Yanjun Jia

High performance and low complexity decoding light-weight video coding with motion estimation and mode decision at decoder

Light-weight video coding (LVC) follows distributed video coding (DVC) and designs to move computational complexity from the encoder to the decoder, thus making a low computational complexity encoder. In tradi...

Authors: Ted Chih-Wei Lei and Fan-Shuo Tseng

Erratum to: A variant of the Hough Transform for the combined detection of corners, segments, and polylines

Authors: Pilar Bachiller-Burgos, Luis J. Manso and Pablo Bustos

Lossy image compression based on prediction error and vector quantisation

Lossy image compression has been gaining importance in recent years due to the enormous increase in the volume of image data employed for Internet and other applications. In a lossy compression, it is essentia...

Authors: Mohamed Uvaze Ahamed Ayoobkhan, Eswaran Chikkannan and Kannan Ramakrishnan

Research of segmentation method on color image of Lingwu long jujubes based on the maximum entropy

This paper researches on methods of the color image segmentation method of Lingwu long jujubes based on the maximum entropy to achieve the accuracy of image segmentation and improve accuracy of machine recogni...

Authors: Yutan Wang, Yingpeng Dai, Junrui Xue, Bohan Liu, Chenghao Ma and Yaoyao Gao