Image processing is an approach to convert an image into digital form and implement some operations on it, in order to get an intensify image or to extract some useful information from it. Multimedia conference covers the areas like still-image coding, Stereoscopic and 3-D coding, 3d Imaging, Image segmentation, Medical Imaging, Image scanning, display, printing novel topics.

Internet of Things (IoT) systems cannot successfully realize the notion of ubiquitous connectivity of everything if they are not capable to truly include ‘multimedia things’. However, the current research and development activities in the field do not mandate the features of multimedia objects, thus leaving a gap to benefit from multimedia content based services and applications. 

Multimedia Systems and Services talks about the essential qualities of mixed media archive taking care of, programming, security, human PC interfaces, and mixed media application administrations. The general objective of the track is to give a wide comprehension of media frameworks and applications in a coordinated way. 

Computer games are the video games played on a personal computer when compared to dedicated video game console or arcade machine. Their defining aspects include a lack of any consolidated controlling authority, a bigger degree of user control over the gaming hardware and software used and a commonly greater capacity in input, processing, and output.

Multimedia is a special domain. In the past 10 years, we have witnessed revolutionary changes in both hardware and software. Today, computers, digital cameras, and even cell phones equipped with optical scanners can "see" and "hear" various types of objects, images and sound, and "display", "say" and "convey" information to people on site and at remote locations via different multimedia devices.   

Computer Graphics is one of the leading aspects of Multimedia Technology. Computer Graphic development has been used in many areas like animation, movies, advertising, graphic design, and video games. This session deals with the novel topics and applications in Computer Graphics.

Computer vision, Pattern recognition and multimedia area has growth briskly during the past decade, since there is an expanding need for semantically understanding the content of image and video data from the predominant images and videos sharing associations such as Flickr, Facebook, YouTube, etc. However, the conduct of vision and multimedia understanding system is heavily vulnerable on the choice of data representation. 

Virtual reality will be experienced by using a range of systems such as headsets and gloves. These are used to stimulate our senses in order to create the illusion of reality. Augmented and Mixed reality came into existence from VR. There are numerous applications for Virtual reality which include VR Technology for Engineering, Business Benefits of Virtual Reality in Industrial Manufacturing, VR and AR: Transforming the Automotive Industry, VR for Education and VR in the Medical Sector and so on.

Machine Learning is a method for making a PC, a PC controlled robot, or a product think shrewdly, in the comparative way the insightful people think. Artificial Intelligence is proficient by concentrate how human cerebrum considers, and how people learn, choose, and work while endeavouring to take care of an issue, and after that utilizing the results of this investigation as a premise of creating clever programming and frameworks.

Machine Learning (ML) is making its mark, with a developing acknowledgment that ML can assume a key part in an extensive variety of basic applications, for example, information mining, characteristic dialect preparing, picture acknowledgment, and master frameworks. ML gives potential arrangements in every one of these areas and that's only the tip of the iceberg, and is set to be a mainstay of our future progress.

Natural Language Processing (NLP) is the capacity of a computer program to comprehend human discourse as it is talked. NLP is a part of manmade brainpower. The advancement of NLP applications is testing since PCs customarily expect people to "talk" to them in a programming dialect that is exact, unambiguous and very organized or, maybe through a predetermined number of obviously articulated voice orders. Human discourse, in any case, is not generally exact - it is regularly equivocal and the etymological structure can rely upon numerous intricate factors, including slang, territorial tongues and social setting.

An Artificial Neural Network (ANN) is a data preparing worldview that is propelled by the way organic sensory systems, for example, the mind, process data. The key component of this worldview is the novel structure of the data handling framework. It is made out of an expansive number of very interconnected preparing components (neurones) working as one to take care of particular issues. ANNs, similar to individuals, learn by illustration. An Artificial Neural Network is designed for a particular application, for example, design acknowledgment or information arrangement, through a learning procedure. Learning in organic frameworks includes changes in accordance with the synaptic associations that exist between the neurones. This is valid for ANNs also.

Human Computer Interaction; a field of research is arranged at the crossing point of software engineering, behavioral sciences, plan, media concentrates on, and a few different fields of study. Human–computer association(generally alluded to as HCI) explores the plan and utilization of PC innovation, concentrated on the interfaces amongst individuals and PCs. Analysts in the field of HCI both watch the courses in which people connect with PCs and plan advancements that let people interface with PCs in novel ways.     

Recent years have endorsed the revolutionary development brought by multimedia & AI technologies. These changes can advance many practices and industries, and health is no exception. The miraculous changes in healthcare also brought many research opportunities in a immense spectrum of application domains, such as eHealth, health data quality assessment, personalized health with sensor data, cross-source learning for better lifestyles and health data visualization.