Multimedia, recognized as a crucial and valuable source of insights and information, is progressively being regarded as big data. This multimedia big data encompasses a wide range of elements, including but not limited to text, images, graphics, audio, video, social media, and sensor data, all of which play a significant role in decision-making. The last decades have witnessed the special interest of researchers working in different domains due to the extraordinary potential concealed in multimedia big data. Numerous public and private organizations creates, store and analyze multimedia big data in pursuit of improving the services they provide. In healthcare, multimedia big data is observed from various avenues such as hospital records, patients medical records, medical examinations reports and sophisticated devices that are usually part of internet of things. In contrast, biomedical research community also generates substantial amount of multimedia big data relevant to public healthcare. This multimedia data needs to be properly managed and analyzed in order to extract and utilize meaningful information else it resembles with finding a straw from haystack. However, there are diverse defiance linked with each step of handling and analyzing multimedia big data and can only be exceeded by utilizing high-end computing solutions. Therefore, healthcare providers must be completely equipped with necessary infrastructure for generating and analyzing multimedia big data to provide relevant solutions to improve public health. A coherent management, analysis and visualization of multimedia big data can make a difference by opening contemporary avenues in modern healthcare.
The intent of this workshop is to bring together researchers, practitioners, and scientific communities to report and discuss the common challenges, advancements and opportunities of healthcare through Multimedia Analytics. The workshop will focus on all relevant aspects of healthcare, including, but not limited to, the following topics:
For Author Instructions, please consult the main conference webpage for workshop papers, at: https://mipr2026.org/authors/
For Submissions, please use the following link and select your track as Health-MM26: Microsoft CMT Submission Portal
|
|
|
|
|