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EURASIP Journal on Image and Video Processing
EURASIP Journal on Image and Video Processing Cover Image

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Page 5 of 16

  2. Content type: Research

    Marine monitoring systems have the requirements of a large field of view, low power consumption, real-time viewing, and economical and automatic functionality. This paper establishes an omnidirectional vision ...

    Authors: Chengtao Cai, Xiangyu Weng and Qidan Zhu

    Citation: EURASIP Journal on Image and Video Processing 2018 2018:1

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  4. Content type: Research

    Human activity monitoring in the video sequences is an intriguing computer vision domain which incorporates colossal applications, e.g., surveillance systems, human-computer interaction, and traffic control sy...

    Authors: Muhammad Sharif, Muhammad Attique Khan, Tallha Akram, Muhammad Younus Javed, Tanzila Saba and Amjad Rehman

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:89

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  6. Content type: Research

    There are various methods in the field of moving-object tracking in the video images that each of them implies on the specific features of object. Among tracking methods based on features, algorithms based on ...

    Authors: Gholamreza Farahani

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:87

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  7. Content type: Research

    There are many techniques of image enhancement. Their parameters are traditionally tuned by maximization of SNR criterion, which is unfortunately based on the knowledge of an ideal image. Our approach is based...

    Authors: Zuzana Krbcova and Jaromir Kukal

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:83

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  8. Content type: Research

    High Efficiency Video Coding (HEVC or H.265), the latest international video coding standard, displays a 50% bit rate reduction with nearly equal quality and dramatically higher coding complexity compared with...

    Authors: Mengmeng Zhang, Xiaojun Zhai and Zhi Liu

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:86

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  9. Content type: Research

    Human activity recognition requires both visual and temporal cues, making it challenging to integrate these important modalities. The usual schemes for integration are averaging and fixing the weights of both ...

    Authors: Novanto Yudistira and Takio Kurita

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:85

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  10. Content type: Research

    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

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:84

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  11. Content type: Research

    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

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:82

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  14. Content type: Research

    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

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:79

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  15. Content type: Research

    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

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:78

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  16. Content type: Research

    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

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:77

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  18. Content type: Research

    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

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:75

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  19. Content type: Research

    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

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:74

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  20. Content type: Research

    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

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:73

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  21. Content type: Research

    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

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:72

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  22. Content type: Research

    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

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:71

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  23. Content type: Research

    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

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:70

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  25. Content type: Review

    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

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:68

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  26. Content type: Research

    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

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:67

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  27. Content type: Research

    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

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:66

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  28. Content type: Research

    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

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:65

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  29. Content type: Research

    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

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:64

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  30. Content type: Research

    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

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:63

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  31. Content type: Research

    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

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:62

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  32. Content type: Research

    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

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:61

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  33. Content type: Research

    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

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:60

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  34. Content type: Research

    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

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:59

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  35. Content type: Review

    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

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:58

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  36. Content type: Research

    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

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:57

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  37. Content type: Research

    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

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:56

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  39. Content type: Research

    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

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:54

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  40. Content type: Research

    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

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:53

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  42. Content type: Research

    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

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:51

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  44. Content type: Research

    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

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:49

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  47. Content type: Research

    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

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:46

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  49. Content type: Research

    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

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:44

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  50. Content type: Research

    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

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:43

    Published on:

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  • ISSN: 1687-5281 (electronic)

EURASIP Best paper awards 2017

We are pleased to announce that the following paper published in EURASIP Journal on Image and Video Processing has been awarded a EURASIP best paper award!


Research

CU splitting early termination based on weighted SVM
Xiaolin Shen and Lu Yu

The award ceremony will take place at EUSIPCO 2017 in Greece. For more information see the EURASIP newsletter.

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