Concluding remarks has created huge demand for advanced tools to manage the data and to help users to find what they are looking for easily. However, despite much progress in related fields such as computer vision and machine learning, image and video retrieval remains to be very challenging. In addition to continue making progress in traditional areas, an important direction for advancing image retrieval is to integrate data processing algorithms with interface design and interactive tool development. Also recently emerged pretrained large vision language models such as CLIP are likely to have major impact on the image retrieval.
It is my honor to be the inaugural Specialty Chief Editor of Imaging Applications, one of the sections of the new journal Frontiers in Image Processing. This section features original research work, tutorial and review articles and welcomes submissions from academic and industry researchers that seek to develop Spain phone number list new applications of image and video processing. Topics of interest covered by this section include, but are not limited to: Security (Data hiding, steganography, forensics, encryption) Biometrics Surveillance Cultural Heritage Remote sensing Document processing Astronomy Automated driving Robotics Gaming Sports.
The general field of image and video processing has witnessed in the last few years the flowering of ever new applications that have affected countless areas of our life, thanks particularly to advancements in computational performance, transmission bandwidth availability, design of new acquisition devices and development of effective Artificial Intelligence (AI) tools (Dufaux, 2021). In this paper, we highlight a few research grand challenges for imaging applications, in order to attract the attention of researchers to this research area. Given the hugeness of the field, this list is by no means exhaustive.