Experiments on scene text benchmark datasets and their proposed dense text dataset demonstrate that the proposed DTDN achieves competitive performance, especially for dense text scenarios. Publisher country is . IET Computer Vision Special Issue: ... Open access publishing enables peer reviewed, accepted journal articles to be made freely available online to anyone with access to the internet. However, some existing methods such as recurrent neural networks do not have a good performance, and some other such as 3D convolutional neural networks (CNNs) are both memory consuming and time consuming. Q.M. Author: computer vision Subject Area: Information Science Duration of Peer Review: 2.0 month(s) Result: Pending & Unknown Write a review: Reviewed 2017-03-17 14:54:05 Why no one commented on this journal, no one submitted?It is said that IET is quite formal, although it is much lower than the same type of journal … Weixuan Wang, Zhijie Yao This document is a template, an electronic copy of which can be downloaded from the Research Journals Author Guide page on the IET's Digital Library. Moreover, the ranking loss is combined with Euclidean loss as the final loss function. In 2012, deep learning became a major breakthrough in the computer vision community by outperforming, by a large margin, classical computer vision methods on ILSVRC challenge. Bryan Reimer To tackle these problems, the authors propose a novel dense text detection network (DTDN) to localise tighter text lines without overlapping. Whilst transitioning to OA as well as collaborating with a new publishing partner, IET Computer Vision will also be migrating to a new electronic peer-review management system , using ScholarOne. The goal of IET-CV Special Issue on Deep Learning in Computer Visionis to accelerate the study of deep learning algorithms in computer vision problems. Three-dimensional (3D) driver pose estimation is a promising and challenging problem for computer–human interaction. In this study, the authors propose a novel colour face recognition approach named semi-supervised uncorrelated dictionary learning (SUDL), which realises decision-level similarity reduction and fusion of all colour components in face images. ; Zhangxuan Gu Jonathan Wu, Lex Fridman After extracting in-frame feature vectors using a pretrained deep network, the authors integrate them and form a multi-mode feature matrix, which preserves the multi-mode structure and high-level representation. Further, they analyse the results obtained via ADFNet using class activation maps and RGB representations for image segmentation results. Sihuan Lin ; ; ; Trent Victor, Self-adaptive weighted synthesised local directional pattern integrating with sparse autoencoder for expression recognition based on improved multiple kernel learning strategy, 3D driver pose estimation based on joint 2D–3D network, Semi-supervised uncorrelated dictionary learning for colour face recognition, Crowd counting by the dual-branch scale-aware network with ranking loss constraints, Brain tumour classification using two-tier classifier with adaptive segmentation technique, Driving posture recognition by convolutional neural networks, Local directional mask maximum edge patterns for image retrieval and face recognition, Fast and accurate algorithm for eye localisation for gaze tracking in low-resolution images, ‘Owl’ and ‘Lizard’: patterns of head pose and eye pose in driver gaze classification, The Institution of Engineering and Technology is registered as a Charity in England & Wales (no 211014) and Scotland (no SC038698). This is a short guide how to format citations and the bibliography in a manuscript for IET Computer Vision. … Publishers own the rights to the articles in their journals. 1994-2006. ISSN 1350-245X. Lukas Hudec IET Computer Vision seeks original research papers in a wide range of areas of computer vision. The ScholarOne site is now open for all new submissions. ; ; Source: IET Computer Vision, Volume 14, Issue 7, p. 452 –461; DOI: 10.1049/iet-cvi.2019.0963; Type: Article + Show details-Hide details; p. 452 –461 (10) Swarms of drones are being … It gradually increases the accuracy of details in the reconstructed images. Decision-level similarity reduction between colour component images directly affects the recognition effect, but it has been found in no work. Quansen Sun The vision of the journal is to publish the highest quality research work that is relevant and topical to the field, but not forgetting those works that aim to introduce new horizons and set the agenda for future avenues of research in Computer Vision. The experiments with proposed architecture demonstrate the potential of variational auto-encoders in the domain of texture synthesis and also tend to yield sharper reconstruction as well as synthesised texture images. ; ; Advances in colour transfer. Jia-lei Zhang Typeset … Features learnt from the two different branches can handle the problem of scale variation due to perspective effects and image size differences. To improve its performance using deep neural networks that operate in real-time, the authors propose a simple and efficient method called ADFNet using accumulated decoder features, ADFNet operates by only using the decoder information without skip connections between the encoder and decoder. (2019) Total Docs. (2019) International Scientific Journal & Country Ranking. Experimental results indicate that their unified approach improves image style transfer quality over previous state-of-the-art methods. The authors therefore further propose the multi-mode neural network (MMNN), in which different modes deploy different types of layers. ; Peng Gao Not registered yet? Yazhou Liu The authors’ work includes three parts. Joonbum Lee Der Journal Impact 2019 von IET Computer Vision beträgt 2.360 (neueste Daten im Jahr 2020). ; For further information on Article Processing Charges (APCs), Wiley’s transformative agreements, Research 4 Life policies, please visit our FAQ Page or contact [email protected]. Xiaobo Li ; Lei Zhao ; Author(s): Francois Pitié Source: IET Computer Vision, Volume 14, Issue 6, p. 304 –322; DOI: 10.1049/iet-cvi.2019.0920 Type: Article + Show details-Hide details p. 304 –322 (19) … It is because text boxes are not commonly overlapped, as different from general objects in natural scenes. Our journal submission experts are skilled in submitting papers to various international journals. Zhi-jian Xia, Qin Wu ; The definition of journal acceptance rate is the percentage of all articles submitted to IET Computer Vision that was accepted for publication. ; The auto-encoders are prone to generate a blurry output. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact. IET Computer Vision seeks original research papers in a wide range of areas of computer vision. Multiple feature variations, encoded in their latent representation, require a priori information to generate images with specific features. IET Computer Vision welcomes submissions on the following topics: Biologically and perceptually motivated approaches to low level vision (feature detection, etc. ; Liqing Zhang, Dianzhuan Jiang Your recommendation has been sent to your librarian. Zexuan Ji ); Perceptual grouping and organisation Representation, analysis and matching of 2D and 3D shape Shape-from-X Object recognition Image understanding Learning with visual inputs Motion analysis and object tracking Multiview scene analysis Cognitive approaches in low, mid and high level vision Control … After uploading your paper on Typeset, you would see a button to request a journal submission service for IET Computer Vision… Mengyang Pu Multiple research studies have recently demonstrated deep networks can generate realistic-looking textures and stylised images from a single texture example. However, these methods cannot solve more sophisticated problems. They propose two models for follow-up classification. Its key problem is how to remove the similarity between colour component images and take full advantage of colour difference information. Wanda Benesova, Zhizhong Wang Besides, they train a bounding-box regressor as post-processing to further improve text localisation performance. CCF Full Name Impact Factor Publisher ISSN; a: International Journal of Computer Vision: 8.222: Springer: 0920-5691: IET Journal on Image Processing : IET: 1751-9659 ; IET Computer Vision is a Subscription-based (non-OA) Journal. However, they show that characteristics of the multi-mode features differ significantly in distinct modes. SCImago Journal Rank (SJR): 1.453 ℹ SCImago Journal Rank (SJR): 2019: 1.453 SJR is a prestige metric based on the idea that not all citations are the same. Our systems are set up to work to fixed timescales and may issue automatic reminder emails – please do not hesitate to get in contact with us at [email protected] if you need an extension or to discuss options. We recognise the tremendous contribution that you all make to the IET journals and would like to take this opportunity to thank you for your continued support. The Ranking of Top Journals for Computer Science and Electronics was prepared by Guide2Research, one of the leading portals for computer … Their main novelties are: (i) propose an intersection-over-union overlap loss, which considers correlations between one anchor and GT boxes and measures how many text areas one anchor contains, (ii) propose a novel anchor sample selection strategy, named CMax-OMin, to select tighter positive samples for training. However, they suffer from some drawbacks. (3years) Total Refs. The main subject areas of published articles are Computer Vision and … ; Title Type SJR H index Total Docs. IET Computer Vision welcomes submissions on the following topics: Biologically and perceptually motivated approaches to low level vision (feature detection, etc. Since then, it has been enjoying increasing popularity, growing into a de facto standard and achieving state-of-the-art performance in a large variety of tasks, such as object detection… International Journal of Computer Vision (IJCV) details the science and engineering of this rapidly growing field. Joonmo Kim Separate training of latent representations increases the stability of the learning process and provides partial disentanglement of latent variables. Colour images are increasingly used in the fields of computer vision, pattern recognition and machine learning, since they can provide more identifiable information than greyscale images. Whether you are currently performing experiments or are in the midst of writing, the following IET Computer Vision - Review Speed data may help you to select an efficient and right journal for your … Subrahmanyam Murala An efficient complex object recognition method for ISAR images … Secondly, to extract a discriminative high-level feature, they introduce SA for feature representation, which extracts the hidden layer representation including more comprehensive information. All contents © The Institution of Engineering and Technology 2019, Could not contact recaptcha for validation, IET Computer Vision — Recommend this title to your library, Register now to save searches and create alerts, IEE Proceedings - Vision, Image and Signal Processing, Hyunguk Choi Fangfang Yan Anil Balaji Gonde The authors propose a joint 2D–3D network incorporating image-based and point-based feature to promote the performance of 3D human pose estimation and run on a high speed. Top Journals for Image Processing & Computer Vision. ; Im Vergleich zu historischen Journal Impact ist der Journal Impact 2019 von IET Computer Vision um 62.76 % gestiegen. Huiming Zhang On the basis of the fact that an original graph must contain more or equal number of persons than any of its sub-images, a ranking loss function utilising the constraint relationship inside an image is proposed. They evaluate their algorithm with the task of human action recognition. Regular articles present major technical advances of broad general interest. Wei Xing ; ; Chiranjoy Chattopadhyay and Sukhendu Das, " STAR: A Content Based Video Retrieval System for Moving Camera Video Shots ", National Conference on Computer Vision, Pattern … Choose your template, import MS-Word file and generate high-quality output within seconds. Junbo Liu, Santosh Kumar Vipparthi Qi Zou ); Perceptual grouping and … The authors first introduce a temporal CNN, which directly feeds the multi-mode feature matrix into a CNN. SJR: 0.408. SUDL employs the labelled and unlabelled colour face image samples into structured dictionary learning to achieve three uncorrelated discriminating dictionaries corresponding to three colour components of face images, and then uses these dictionaries and the sparse coding technique to make a classification decision. ; View More on Journal … ; ; ; 5-year Impact Factor: 1.524 Qihang Mo They demonstrate the effectiveness and superiority of their approach on numerous style transfer tasks, especially the Chinese ancient painting style transfer. Open access publishing with the IET … Experiments on private driver data set and public Invariant-Top View data set show that the proposed method achieves efficient and competitive performance on 3D human pose estimation. ; The vision of the journal is to publish the highest quality research work that is relevant and topical to the field, but not forgetting those works that aim to introduce new horizons and set the agenda for future avenues of research in Computer Vision. Moreover, text detection requires higher localisation accuracy than object detection. ; Publishers own the rights to the articles in their journals. The scientific journal IET Computer Vision is included in the Scopus database. Subrahmanyam Murala Generative adversarial networks are in general difficult to train. Weichen Xue For questions on paper guidelines, please contact the relevant journal inbox as indicated on each journal… ; Image crowd counting is a challenging problem. ; Then self-adaptive weights are assigned to each sub-block feature according to the projection error between the expressional image and neutral image of each patch, which can highlight such areas containing more expressional texture information. Chiranjoy Chattopadhyay and Sukhendu Das, " SAFARRI: A Framework for Classification and Retrieving Videos with Similar Human Interactions"; Resubmitted after revision to IET Computer Vision, May 2015. ; Browse all 34 journal templates from IET Publications.Approved by publishing and review experts. CMax-OMin strategy not only considers whether an anchor has the largest overlap with its corresponding GT box (CMax), but also ensures the overlapping between one anchor and other GT boxes as little as possible (OMin). Complex inverse synthetic aperture radar (ISAR) object recognition is a critical and challenging problem in computer vision tasks. ; Pongsak Lasang The generative model is also capable of synthesising complex real-world textures. The proposed network is composed of two major components: the first ten layers of VGG16 are used as the backbone network, and a dual-branch (named as Branch_S and Branch_D) network is proposed to be the second part of the network. IEE Proceedings - Vision, Image and Signal Processing Besides, the authors introduce a novel deep pyramid feature fusion module to provide a more flexible style expression and a more efficient transfer process. The approaches using global statistics fail to capture small, intricate textures and maintain correct texture scales of the artworks, and the others based on local patches are defective on global effect. Read more... Impact Factor: 1.516 ; Trent Victor, ADFNet: accumulated decoder features for real-time semantic segmentation, Partial disentanglement of hierarchical variational auto-encoder for texture synthesis, GLStyleNet: exquisite style transfer combining global and local pyramid features, Multi-mode neural network for human action recognition, Brain tumour classification using two-tier classifier with adaptive segmentation technique, Driving posture recognition by convolutional neural networks, Local directional mask maximum edge patterns for image retrieval and face recognition, Fast and accurate algorithm for eye localisation for gaze tracking in low-resolution images, ‘Owl’ and ‘Lizard’: patterns of head pose and eye pose in driver gaze classification, The Institution of Engineering and Technology is registered as a Charity in England & Wales (no 211014) and Scotland (no SC038698). The IET has now partnered with Publons to give you official recognition for your contribution to peer review. CiteScore: 3.6 SNIP: 1.056 Q.M. The experimental results show that the MMNN achieves a much better performance than the existing long short-term memory-based methods and consumes far fewer resources than the existing 3D end-to-end models. Anil Balaji Gonde Zhilei Chai ; One of the main reasons is the inability to parameterise complex distributions. In partnership with Wiley, the IET have taken the decision to convert IET Computer Vision from a library/subscriber pays model to an author-pays Open Access (OA) model effective from the 2021 volume, which comes into effect for all new submissions to the journal from now. This could help retain both high-frequency pixel information and low-frequency construct information. Specifically, a simple yet effective perceptual loss is proposed to consider the information of global semantic-level structure, local patch-level style, and global channel-level effect at the same time. ; Dongming Lu, Haohua Zhao Shengsheng Zhang The vision of the journal is to publish the highest quality research work that is relevant and topical to the field, but not forgetting those works that aim to introduce new horizons and set the agenda for future avenues of research in computer vision. IET Computer Vision welcomes submissions on the following topics: Biologically and perceptually motivated approaches to low level vision (feature detection, etc. ; COVID-19: A Message from the IET Journals Team We would like to reassure all of our valued authors, reviewers and editors that our journals are continuing to run as usual but, given the current situation, we can offer flexibility on your deadlines if you should need it. ; IET Computer Vision seeks original research papers in a wide range of areas of computer vision. Vision-based crater and rock detection using a cascade decision forest. Video data are of two different intrinsic modes, in-frame and temporal. ; Please note that any papers that have been submitted in the journal prior to 1 August 2020 will continue to run in ReView. ; IET Computer Vision Journal Impact Quartile: Q2.Der Journal … This study presents a novel method for solving facial expression recognition (FER) tasks which uses a self-adaptive weighted synthesised local directional pattern (SW-SLDP) descriptor integrating sparse autoencoder (SA) features based on improved multiple kernel learning (IMKL) strategy. Finally, to combine the above two kinds of features, an IMKL strategy is developed by effectively integrating both soft margin learning and intrinsic local constraints, which is robust to noisy condition and thus improve the classification performance. ; Author(s): Yunfeng Yan ; Donglian Qi ; Chaoyong Li Source: IET Computer Vision, Volume 13, Issue 6, p. 549 –555; DOI: 10.1049/iet … The vision of the journal is to IET Computer Vision | About Journal | IEEE Xplore Haifeng Hu In this study, the proposed method is based on two types of inputs, infrared image and point cloud obtained from time-of-flight camera. Shengmei Shen, Qian Liu This journal was previously known as Features of different scales extracted from the two branches are fused to generate predicted density map. ; Hoyeon Ahn Your recommendation has been sent to your librarian. Extensive experimental results indicate their model can achieve competitive or even better performance with existing representative FER methods. The model consists of multiple separate latent layers responsible for learning the gradual levels of texture details. Guodong Guo, Santosh Kumar Vipparthi ; ); Perceptual grouping and organisation; Representation, analysis and matching of 2D and 3D shape; Shape-from-X; Object recognition; Image understanding; Learning with visual inputs; Motion analysis and object tracking; Multiview scene analysis; Cognitive approaches in low, mid and high level vision… Recent studies using deep neural networks have shown remarkable success in style transfer, especially for artistic and photo-realistic images. Bryan Reimer All contents © The Institution of Engineering and Technology 2019, Could not contact recaptcha for validation, IET Computer Vision — Recommend this title to your library, Lingshuang Du more.. Semantic segmentation is one of the important technologies in autonomous driving, and ensuring its real-time and high performance is of utmost importance for the safety of pedestrians and passengers. IET Computer Vision seeks original research papers in a wide range of areas of computer vision. Iet Computer Vision Impact Factor, IF, number of article, detailed information and journal … This could help transfer not just large-scale, obvious style cues but also subtle, exquisite ones, and dramatically improve the quality of style transfer. ; ; ; ; It is beneficial to incorporate static in-frame features to acquire dynamic features for video applications. To address these issues, this study presents a unified model [global and local style network (GLStyleNet)] to achieve exquisite style transfer with higher quality. ; The authors present a novel texture generative model architecture extending the variational auto-encoder approach. Branch_S extracts low-level information (head blob) through a shallow fully convolutional network and Branch_D uses a deep fully convolutional network to extract high-level context features (faces and body). Our approach is evaluated on three benchmark datasets, and better results are achieved compared with the state-of-the-art works. The acceptance rate of IET Computer Vision is still under … Moongu Jeon, Marek Jakab They demonstrate that the performance of ADFNet is superior to that of the state-of-the-art methods, including that of the baseline network on the cityscapes dataset. Anyone who wants to read … The vision of the journal is to publish the highest quality research work that is relevant and topical to the field, but not forgetting those works that aim to introduce new horizons and set the agenda for future avenues of research in computer vision. Thus, colour face recognition has attracted accumulating attention. ; Source: IET Computer Vision, Volume 14, Issue 3, p. 92 –100; DOI: 10.1049/iet-cvi.2019.0125; Type: Article + Show details-Hide details; p. 92 –100 (9) Colour images are increasingly used in the fields of computer vision… Yongbo Wu This study proposes an effective framework that takes the advantage of deep learning on the static image feature extraction to tackle the video data. Xingyuan Zhang Most existing text detection methods are mainly motivated by deep learning-based object detection approaches, which may result in serious overlapping between detected text lines, especially in dense text scenarios. ; For point cloud with invalid points, the authors first do preprocess and then design a denoising module to handle this problem. IET Computer Vision seeks original research papers in a wide range of areas of computer vision. Bo Jiang Jonathan Wu, Lex Fridman Yaping Huang For a complete guide how to prepare your manuscript refer to the journal… How to format your references using the IET Computer Vision citation style. Thanks to the proposed architecture, the model is able to learn a higher level of details resulting from the partial disentanglement of latent variables. Recently convolutional neural networks have been introduced into 3D pose estimation, but these methods have the problem of slow running speed and are not suitable for driving scenario. Joonbum Lee This study proposes a new deep learning method that estimates crowd counting for the congested scene. Experimental results in multiple public colour face image databases demonstrate that the dictionary decorrelation, structured dictionary learning and unlabelled samples used in the proposed approach are effective and reasonable, and the proposed approach outperforms several representative colour face recognition methods in recognition rates, despite of its poor time performance. ; Based on 2018, SJR is 0.368. ; Register now to save searches and create alerts Li Niu Firstly, the authors propose a novel SW-SLDP feature descriptor which divides the facial images into patches and extracts sub-block features synthetically according to both distribution information and directional intensity contrast. Object recognition method for ISAR images … Advances in colour transfer cloud obtained from camera. Iet … IET Computer Vision for learning the gradual levels of texture details static in-frame to... 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And superiority of their approach on numerous style transfer quality over previous state-of-the-art methods static. Similarity between colour component images and take full advantage of colour difference information August 2020 will continue to run review... Can generate realistic-looking textures and stylised images from a single texture example to localise tighter text lines without overlapping in! Gradual levels of texture details networks can generate realistic-looking textures and stylised images a. The auto-encoders are prone to generate a blurry output technical Advances of broad interest.
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