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CALL FOR PAPERS 2nd International Conference on Image Processing and Vision Engineering **Submission Deadline: November 30, 2021** https://improve.scitevents.org/ April 22 - 24, 2022 Online Streaming Dear Colleagues, Given the uncertainties of the current international situation, including constraints on traveling, logging and large gatherings we have decided to convert the conference completely into a web-based event. As a consequence of this change, we have strongly reduced the registration fees, so we would like to invite you to contribute and submit your original research paper to IMPROVE 2022. IMPROVE is a comprehensive conference of academic and technical nature, focused on image processing and computer vision practical applications. It brings together researchers, engineers and practitioners working either in fundamental areas of image processing, developing new methods and techniques, including innovative machine learning approaches, as well as multimedia communications technology and applications of image processing and artificial vision in diverse areas. Conference Chair Sebastiano Battiato, University of Catania, Italy Program Chair(s) Francisco Imai, Apple Inc., United States Cosimo Distante, CNR, Italy With the presence of internationally distinguished keynote speakers: Jiri Matas, Czech Technical University in Prague, Faculty of Electrical Engineering, Czech Republic Michael Bronstein, Imperial College London, United Kingdom Proceedings will be submitted for indexation by: SCOPUS, Google Scholar, The DBLP Computer Science Bibliography, Semantic Scholar, Microsoft Academic, Engineering Index (EI), Web of Science / Conference Proceedings Citation Index. A short list of presented papers will be invited for a post-conference special issue of the Springer Nature Computer Science journal. All papers presented at the conference venue will also be available at the SCITEPRESS Digital Library. Kind regards, Monica Saramago IMPROVE Secretariat Web: http://improve.scitevents.org e-mail: [log in to unmask] <mailto:[log in to unmask]>