Special Issue Information Special Issue Call for Paper Other Special Issues on this journal Closed Special Issues
Visual dEscriptors for TexturE Recognition: from Gabor to deep leArNing (VETERAN)

Visual dEscriptors for TexturE Recognition: from Gabor to deep leArNing (VETERAN)

Journal
Impact Score 6.76

OFFICIAL WEBSITE

Special Issue Information

Submission Deadline: 27-05-2022
Journal Impact Score: 6.76
Journal Name: Pattern Recognition Letters
Publisher: Pattern Recognition Letters

Special Issue Call for Papers


Background and motivations



Texture is one of the visual properties that determine the appearance of objects, materials and scenes. As a consequence, texture recognition has been an area of intense research for more than forty years. Applications of texture recognition span diverse areas of computer vision including materials classification, surface inspection and grading, object and face recognition, remote sensing and medical image analysis.



Up until not long ago the leading approach to texture was essentially model-based, with the visual descriptors being designed by hand – hence the term ‘hand-crafted’. In recent years, however, research has been moving towards data-driven methods (Deep Learning) where large parts of the descriptors are no longer designed a priori, but learnt from the training data. Still, the real effectiveness and theoretical underpinnings of this approach are yet to be understood when it comes to textures. It is for instance unclear if and how we could combine knowledge from the ‘hand-designed’ era with Deep Learning to produce effective yet lightweight descriptors for texture analysis, classification and retrieval.



This special issues focusses on the theoretical aspects of texture recognition and the most recent advances in the field. Potential applications in image processing and computer vision are also considered.



Topics of interest



We particularly welcome contributions in the following topics:




Important dates




Submission instructions



Prospective authors are invited to upload their papers through the Editorial Manager system. The platform will start accepting submissions approximately one week before the submission period begins. When submitting your manuscript please select the article type “VSI: VETERAN”. It is mandatory that the manuscripts be submitted by the deadline indicated. All manuscripts should adhere to the Journal’s guidelines: please take into account that Special Issue papers follow the same submission rules as regular articles.



All submissions deemed suitable to be sent for peer review will be evaluated by at least two independent reviewers. Once your manuscript is accepted, it will go into production, and will be simultaneously published in the current regular issue and pulled into the online Special Issue. Articles from this Special Issue will appear in different regular issues of the journal, though they will be clearly marked and branded as Special Issue articles.



Please see an example here: https://www.sciencedirect.com/journal/science-of-the-total-environment/special-issue/10SWS2W7VVV



Please make sure you have read the Guide for Authors before preparing your manuscript. The Guide for Authors and the link to submit your manuscript are available on the Journal’s homepage.



Guest Editors



Francesco Bianconi (Università degli Studi di Perugia, Italy) received the M.Eng. from the University of Perugia, Italy, and the Ph.D. in computer-aided design from a consortium of Italian universities. He has been a Visiting Researcher with the University of Vigo, Spain; the University of East Anglia, U.K.; Queen Mary University of London, U.K. and City, University of London, U.K. He is currently an Associate Professor with the Department of Engineering, University of Perugia, where he conducts research on computer vision, image processing, and pattern recognition with special focus on texture and colour analysis. Prof. Bianconi is an IEEE Senior Member, Chartered Engineer, Court-Appointed Expert and serves as Associate Editor for PLoS ONE and Applied Sciences.



Claudio Cusano (Università degli Studi di Pavia, Italy) graduated in Computer Science from the University of Milano–Bicocca, Italy, in 2002, and received the Ph.D. in computer science from the same university in 2006. Since 2002, he has been a Fellow with the Multimedia Information Technologies Institute, Italian National Council of Research, where he started its research activity as a researcher with grant. In 2006 he became a Postdoctoral Researcher with the Imaging and Vision Laboratory, University of Milano–Bicocca. Since 2012, he has been serving as an Assistant Professor in Computer Engineering with the University of Pavia, where he became an Associate Professor, in 2015. His topics of interest are focused on automatic image analysis and recognition – including scene classification, texture analysis, colour processing, face recognition, and 3D imaging.



Antonio Fernández (Universidade de Vigo, Spain) graduated as an Industrial Engineer (equivalent to a MEng degree) in 1993 and obtained his PhD in 1998 from the University of Vigo, Spain, with a thesis on Optical Metrology. He joined the Applied Physics department at University of Vigo in 1993, then the Department of Engineering Design where he currently holds a Senior Lecturer position. Prof. Fernández has been a Visiting Researcher with the Research Center in Optics, Mexico; Dublin City University, Ireland and University of Perugia, Italy. His research interests include computer vision, image processing and pattern recognition, with a special focus on texture analysis.



Paolo Napoletano (Università degli Studi di Milano-Bicocca, Italy) Received the master’s degree in Telecommunications Engineering from the University of Naples Federico II, in 2003, with a thesis focused on transmission of electromagnetic fields, and the Ph.D. degree in Information Engineering from the University of Salerno, Italy, in 2007, with a thesis focused on computational vision and pattern recognition. He is currently an Associate Professor of Computer Science with the Department of Informatics, Systems and Communication at the University of Milano–Bicocca, Italy. His current research interests focus on signal, image and video analysis and understanding, multimedia information processing, and management and machine learning for multimodal data classification and understanding.

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