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Elsevier

Journals in Computer vision and pattern recognition

This collection includes research on image analysis, object detection, facial recognition, and pattern analysis. Showcasing state-of-the-art algorithms, practical applications, and case studies, it supports researchers, developers, and students in advancing visual understanding systems. Emphasizing deep learning, biometrics, and real-time processing, these resources enable innovations in security, healthcare, robotics, and multimedia.

  • Optics and Lasers in Engineering

    • ISSN: 0143-8166
    Optics and Lasers in Engineering aims at providing an international forum for the interchange of information on the development of optical techniques and laser technology in engineering. Emphasis is placed on contributions targeted at the practical use of methods and devices, the development and enhancement of solutions and new theoretical concepts for experimental methods.Optics and Lasers in Engineering reflects the main areas in which optical methods are being used and developed for an engineering environment. Manuscripts should offer clear evidence of novelty and significance. Papers focusing on parameter optimization or computational issues are not suitable. Similarly, papers focussed on an application rather than the optical method fall outside the journal's scope. The scope of the journal is defined to include the following:Optical Metrology Optical Methods for 3D visualization and virtual engineering Optical Techniques for Microsystems Imaging, Microscopy and Adaptive Optics Computational Imaging Laser methods in manufacturing Integrated optical and photonic sensors Optics and Photonics in Life Science Hyperspectral and spectroscopic methods Infrared and Terahertz techniques
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  • Next Research

    • ISSN: 3050-4759
    Next Research is a peer-reviewed multidisciplinary journal, publishing research spanning all scientific technical and medical communities.The journal is part of the Next family, a new suite of multidisciplinary journals from Elsevier spanning all branches of science. Managed by our dedicated team of in-house Editors, Next Research offers authors speed, consistency, innovation, flexibility, and ease of submission.Next Research is an inclusive venue for scientifically accurate manuscripts that meet the ethical and scientific publishing standards. It publishes all research topics across the fields of health sciences, physical sciences, life sciences and social sciences. Next Research publishes experimental, computational, and theoretical work, in traditional formats such as Original Research Articles, Communications and Reviews, as well as novel formats and video content.The journal provides authors with rigorous peer review ensuring articles adhere to a high technical standard, with rapid decisions and a highly visible platform for scientists to share their research.We believe that all rigorous research should be shared.
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  • Artificial Intelligence

    • ISSN: 0004-3702
    The journal of Artificial Intelligence (AIJ) welcomes papers on broad aspects of AI that constitute advances in the overall field including, but not limited to, cognition and AI, automated reasoning and inference, case-based reasoning, commonsense reasoning, computer vision, constraint processing, ethical AI, heuristic search, human interfaces, intelligent robotics, knowledge representation, machine learning, multi-agent systems, natural language processing, planning and action, and reasoning under uncertainty. The journal reports results achieved in addition to proposals for new ways of looking at AI problems, both of which must include demonstrations of value and effectiveness.Papers describing applications of AI are also welcome, but the focus should be on how new and novel AI methods advance performance in application areas, rather than a presentation of yet another application of conventional AI methods. Papers on applications should describe a principled solution, emphasize its novelty, and present an indepth evaluation of the AI techniques being exploited.Apart from regular papers, the journal also accepts Research Notes, Research Field Reviews, Position Papers, and Book Reviews (see details below). The journal will also consider summary papers that describe challenges and competitions from various areas of AI. Such papers should motivate and describe the competition design as well as report and interpret competition results, with an emphasis on insights that are of value beyond the competition (series) itself.
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  • Information Fusion

    • ISSN: 1566-2535
    An International Journal on Multi-Sensor, Multi-Source Information FusionThe journal is intended to present within a single forum all of the developments in the field of multi-sensor, multi-source, multi-process information fusion and thereby promote the synergism among the many disciplines that are contributing to its growth. The journal is the premier vehicle for disseminating information on all aspects of research and development in the field of information fusion. Articles are expected to emphasize one or more of the three facets: architectures, algorithms, and applications. Papers dealing with fundamental theoretical analyses as well as those demonstrating their application to real-world problems will be welcome. The journal publishes original papers, letters to the Editors and from time to time invited review articles, in all areas related to the information fusion arena including, but not limited to, the following suggested topics:Data/Image, Feature, Decision, and Multilevel Fusion Multi-classifier/Dec... Systems Multi-Look Temporal Fusion Multi-Sensor, Multi-Source Fusion System Architectures Distributed and Wireless Sensor Networks Higher Level Fusion Topics Including Situation Awareness And Management Multi-Sensor Management and Real-Time ApplicationsAdaptive And Self-Improving Fusion System Architectures Active, Passive, And Mixed Sensor Suites Multi-Sensor And Distributed Sensor System Design Fusion Learning In Imperfect, Imprecise And Incomplete EnvironmentsIntellig... Techniques For Fusion Processing Fusion System Design And Algorithmic Issues Fusion System Computational Resources and Demands Optimization Special Purpose Hardware Dedicated To Fusion Applications Mining Remotely Sensed Multi-Spectral/Hyper... Image Data Bases Information Fusion Applications in Intrusion Detection, Network Security, Information Security and Assurance arena Applications such as Robotics, Space, Bio-medical, Transportation, Economics, and Financial Information Systems Real-World Issues such as Computational Demands, Real-Time Constraints in the context of Fusion systems.
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  • Computer Vision and Image Understanding

    • ISSN: 1077-3142
    The central focus of this journal is the computer analysis of pictorial information. Computer Vision and Image Understanding publishes papers covering all aspects of image analysis from the low-level, iconic processes of early vision to the high-level, symbolic processes of recognition and interpretation. A wide range of topics in the image understanding area is covered, including papers offering insights that differ from predominant views.Research Areas Include:Theory Early vision Data structures and representations Shape Range Motion Matching and recognition Architecture and languages Vision systems
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  • Displays

    • ISSN: 0141-9382
    Displays is a peer reviewed international journal accepting technical, original research papers and tutorial papers dealing with display technologies and applications. The journal welcomes submissions in a wide range of display-related topics, including display technologies, materials, components, methods and systems, display-human interaction, processing and analysis of visual signals, and visual perception. The journal aims to provide a platform for the publication of top quality display-related research works with both academic and industrial appeal.Our dedicated editorial team will try their best to ensure a rapid reviewing process. The journal covers topics include, but not limited to, the following fields:Display-human Interaction• Visual signal processing and computer vision (CV) • Display-human/user interface design and analysis • Image/video quality assessment (IQA/VQA) and quality of experience (QoE) • Visual performance measurement and assessment • Visual perception and its cortical representation • Human factors and ergonomics for displaysDisplay Technology• Emissive/non-emissiv... displays • Flexible displays and E-papers • Materials/components and drive-electronics for displays • 3D displays and virtual/augmented/mi... reality (VR/AR/MR) • Auditory and tactile displays • Computational displays
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  • Journal of Visual Communication and Image Representation

    • ISSN: 1047-3203
    The Journal of Visual Communication and Image Representation publishes papers on state-of-the-art visual communication and image representation, with emphasis on novel technologies and theoretical work in this multidisciplinary area of pure and applied research. The field of visual communication and image representation is considered in its broadest sense and covers both digital and analog aspects as well as processing and communication in biological visual systems.Research Areas include:Image analysis and synthesisMathematica... morphologyComputer visionImage understanding and scene analysisVideo understandingRGB-D and 3D processingDeep learning for visual signal processingDeterminis... and stochastic image modelingVisual data reduction and compressionImage coding and video communicationVirtual and augmented reality for visual communicationPrivacy... technologies for images and videosData hiding, perceptual hashing, fingerprinting for images and videosImage and video forensics and counterforensicsBiol... and medical imagingEarly processing in biological visual systemsPsychophysica... analysis of visual perceptionRemote sensing
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  • Medical Image Analysis

    • ISSN: 1361-8415
    An official journal of the MICCAI SocietyMedical Image Analysis provides a forum for the dissemination of new research results in the field of medical and biological image analysis, with special emphasis on efforts related to the applications of computer vision, virtual reality and robotics to biomedical imaging problems. The journal publishes the highest quality, original papers that contribute to the basic science of processing, analysing and utilizing medical and biological images for these purposes. The journal is interested in approaches that utilize biomedical image datasets at all spatial scales, ranging from molecular/cellular imaging to tissue/organ imaging. While not limited to these alone, the typical biomedical image datasets of interest include those acquired from:Magnetic resonanceUltrasoundC... tomographyNuclear medicineX-rayOptical and Confocal MicroscopyVideo and range data imagesThe types of papers accepted include those that cover the development and implementation of algorithms and strategies based on the use of various models (geometrical, statistical, physical, functional, etc.) to solve the following types of problems, using biomedical image datasets: representation of pictorial data, visualization, feature extraction, segmentation, inter-study and inter-subject registration, longitudinal / temporal studies, image-guided surgery and intervention, texture, shape and motion measurements, spectral analysis, digital anatomical atlases, statistical shape analysis, computational anatomy (modelling normal anatomy and its variations), computational physiology (modelling organs and living systems for image analysis, simulation and training), virtual and augmented reality for therapy planning and guidance, telemedicine with medical images, telepresence in medicine, telesurgery and image-guided medical robots, etc.
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  • Image and Vision Computing

    • ISSN: 0262-8856
    Image and Vision Computing has as a primary aim the provision of an effective medium of interchange for the results of high quality theoretical and applied research fundamental to all aspects of image interpretation and computer vision. The journal publishes work that proposes new image interpretation and computer vision methodology or addresses the application of such methods to real world scenes. It seeks to strengthen a deeper understanding in the discipline by encouraging the quantitative comparison and performance evaluation of the proposed methodology. The coverage includes: image interpretation, scene modelling, object recognition and tracking, shape analysis, monitoring and surveillance, active vision and robotic systems, SLAM, biologically-inspire... computer vision, motion analysis, stereo vision, document image understanding, character and handwritten text recognition, face and gesture recognition, biometrics, vision-based human-computer interaction, human activity and behavior understanding, data fusion from multiple sensor inputs, image databases.In addition to regular manuscripts, Image and Vision Computing Journal solicits manuscripts for the Opinions Column, aimed at initiating a free forum for vision researchers to express their opinions on past, current, or future successes and challenges in research and the community.An opinion paper should be succinct and focused on a particular topic. Addressing multiple related topics is also possible if this helps making the point. While posing questions helps raising awareness about certain issues, ideally, an opinion paper should also suggest a concrete direction how to address the issues. Topics of interest include, but are not limited to:Comments on success and challenges in a (sub-) field of computer vision,Remarks on new frontiers in computer visionObservations on current practices and trends in research, and suggestions for overcoming unsatisfying aspectsObservations on current practices and trends in the community regarding, e.g., reviewing process, organizing conferences, how journals are run, and suggestions for overcoming unsatisfying aspectsReviews of early seminal work that may have fallen out of fashionSummaries of the evolution of one's line of researchRecommendati... for educating new generations of vision researchers.The format of an opinion paper should comply with the existing formatting guidelines for the Image and Vision Computing Journal submissions, and should not exceed 2 pages.Months of publication: January/February, March, April, May, June, July/August, September, October, November and December.
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  • Pattern Recognition

    • ISSN: 0031-3203
    Pattern Recognition is a mature but exciting and fast developing field, which underpins developments in cognate fields such as computer vision, image processing, text and document analysis and neural networks. It is closely akin to machine learning, and also finds applications in fast emerging areas such as biometrics, bioinformatics, multimedia data analysis and most recently data science. The journal Pattern Recognition was established some 50 years ago, as the field emerged in the early years of computer science. Over the intervening years it has expanded considerably.The journal accepts papers making original contributions to the theory, methodology and application of pattern recognition in any area, provided that the context of the work is both clearly explained and grounded in the pattern recognition literature. Papers whos primary concern falls outside the pattern recognition domain and which report routine applications of it using existing or well known methods, should be directed elsewhere. The publication policy is to publish (1) new original articles that have been appropriately reviewed by competent scientific people, (2) reviews of developments in the field, and (3) pedagogical papers covering specific areas of interest in pattern recognition. Various special issues will be organized from time to time on current topics of interest to Pattern Recognition. Submitted papers should be single column, double spaced, no less than 20 and no more than 35 (40 for a review) pages long, with numbered pages.
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  • Pattern Recognition Letters

    • ISSN: 0167-8655
    An official publication of the International Association for Pattern RecognitionPattern Recognition Letters aims at rapid publication of concise articles of a broad interest in pattern recognition. Subject areas include all the current fields of interest represented by the Technical Committees of the International Association of Pattern Recognition, and other developing themes involving learning and recognition. Examples include:• Statistical, structural, syntactic pattern recognition; • Neural networks, machine learning, data mining; • Discrete geometry, algebraic, graph-based techniques for pattern recognition; • Signal analysis, image coding and processing, shape and texture analysis; • Computer vision, robotics, remote sensing; • Document processing, text and graphics recognition, digital libraries; • Speech recognition, music analysis, multimedia systems; • Natural language analysis, information retrieval; • Biometrics, biomedical pattern analysis and information systems; • Special hardware architectures, software packages for pattern recognition.We invite contributions as research reports or commentaries.Researc... reports should be concise summaries of methodological inventions and findings, with strong potential of wide applications. Alternatively, they can describe significant and novel applications of an established technique that are of high reference value to the same application area and other similar areas.Commentaries can be lecture notes, subject reviews, reports on a conference, or debates on critical issues that are of wide interests.To serve the interests of a diverse readership, the introduction should provide a concise summary of the background of the work in an accepted terminology in pattern recognition, state the unique contributions, and discuss broader impacts of the work outside the immediate subject area. All contributions are reviewed on the basis of scientific merits and breadth of potential interests.
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  • Computers & Graphics

    • ISSN: 0097-8493
    An International Journal of Systems & Applications in Computer GraphicsComputers & Graphics is dedicated to disseminate information on research and applications of computer graphics (CG) techniques. The journal encourages articles on: 1. Research and applications of interactive computer graphics. We are particularly interested in novel interaction techniques and applications of CG to problem domains. 2. State-of-the-art papers on late-breaking, cutting-edge research on CG. 3. Information on innovative uses of graphics principles and technologies. 4. Tutorial papers on both teaching CG principles and innovative uses of CG in education.Computers & Graphics provides a medium to communicate information concerning interactive CG and CG applications. The journal focuses on interactive computer graphics, visualization and novel input modalities including virtual environments, and, within this scope, on graphical models, data structures, languages, picture manipulation algorithms and related software.Replicabili... Badge and Software Publication Computers and Graphics is collaborating with the GRSI (Graphics Replicability Stamp Initiative), an independent group of volunteers who help the community by enabling sharing of code and data as a community resource for non-commercial use. The volunteers review the submitted code (and data) and certify its replicability. Note that an accepted paper will be published independently of the GRSI application outcome. However, if the paper receives the Replicability Stamp, it will be given additional exposure by having an attached Replicability Badge, and by being listed on the Replicability Stamp website. See http://www.replicabi... for further information.We invite you to convert your open source software with GRSI Badge into an additional journal publication in Software Impacts, a multi-disciplinary open access journal. Software Impacts provides a scholarly reference to software that has been used to address a research challenge. The journal disseminates impactful and re-usable scientific software through Original Software Publications which describe the application of the software to research and the published outputs.For more information contact us at: software.impacts@els...
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