Electronic Letters on Computer Vision and Image Analysis

Summary: Electronic Letters on Computer Vision and Image Analysis covers topics relating to vision and image processing.

Electronic Letters on Computer Vision and Image Analysis (ELCVIA) is an international electronic journal on the theory and applications of Computer Vision and Image Analysis. In order to publish high quality papers, all received articles are thoroughly peer reviewed by a board of internationally recognized experts. As a consequence, after the last two years only 25% of the received articles has been finally accepted for publication. The Journal includes internationally recognized experts in Computer Vision and Image Analysis in their Boards. The different fields covered (but not limited to these) by the journal are:
<ul>
<li>Computer Vision: Sensor systems; Features and Image Descriptors; Image Modelling; Scene Understanding; Active Vision; Motion, Tracking, Video Analysis; Object Description and Recognition; Robotics and Visual Navigation; 3D and Stereo.</li>
<li>Pattern Recognition: Statistical Pattern Recognition; Syntactic/Structural Pattern Recognition; Machine Learning and Data Mining; Symbolic Learning; Feature Analysis; Classification and Clustering; Support Vector Machines and kernels; Invariances in Recognition; Image Analysis and Processing.</li>
<li>Image and Video Processing: Coding and compression; Colour and Texture; Shape extraction and representation; Separation and Segmentation; Learning; Registration; Statistical and non linear methods.</li>
<li>Multimodal Interaction and Multimedia: Multimedia analysis; Indexing, retrieval; Multimedia infrastructure; Augmented Reality; Document Analysis; Character and Text Recognition; Handwriting Recognition; Graphics and Drawings Recognition; Document Layout Analysis; Document Understanding.</li>
<li>Document Analysis: Character and Text Recognition; Handwriting Recognition; Graphics and Drawings Recognition; Document Layout Analysis; Document Understanding.</li>
<li>Biometrics: Biometric Technologies; Multi-modal biometrics; Gait analysis; Face and Gesture; Recognition of finger and other body parts.</li>
<li>Medical Image Analysis: Multimodal imaging (MRI, NMR, PET,...); Medical Diagnosis; Image-guided surgery; Interaction and Visualization.</li>
<li>Applications: Machine Vision; Video Surveillance; Cultural Heritage; Remote Sensing; Other applications.</li>
</ul>

Publisher	Computer Vision Center (CVC)
More information	http://elcvia.cvc.uab.es/index.php/elcvia
Keywords	computer vision, pattern recognition, image and video processing, multimodal interaction and multimedia, document analysis, text recognition, document understanding, biometrics, medical image analysis, machine vision, remote sensing, gait analysis, face analysis, gesture analysis