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Each year, the IEEE Board of Directors confers the grade of Fellow on up to one-tenth of one percent of the voting members.  To qualify for consideration, an individual must have been a Member, normally for five years or more, and a Senior Member at the time for nomination to Fellow.  The grade of Fellow recognizes unusual distinction in IEEE’s designated fields.

In this course, you will learn the science behind how digital images and video are made, altered, stored, and used. We will look at the vast world of digital imaging, from how computers and digital cameras form images to how digital special effects are used in Hollywood movies to how the Mars Rover was able to send photographs across millions of miles of space. 

Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs.

Recently, leveraging technological advances and using Big Data approaches for information management and processing in extreme events (e.g., Natural Disasters, Extreme Weather, Emergency Events, Diseases and etc.) have attracted much research attention. Multimedia is increasingly becoming the most important and valuable source for insights and information in extreme events.

IEEE has developed a new data repository called IEEE DataPort™ that offers the following benefits to the global technical community at large:

• Accepts and stores datasets up to 2TB in size and can accept multiple file uploads
• Full integration with AWS (Amazon Web Services) to facilitate data analysis in the Cloud
• Persistent Digital Object Identifier (DOI) for each uploaded dataset and analysis

And many more...

Researchers from Facebook AI Research have won the Best Paper Award (Marr Prize) at the 16th International Conference on Computer vision (ICCV) 2017, held in Venice, Italy. The work, named "Mask R-CNN", addresses the problem of instance segmentation, which combines tasks of object detection and semantic segmentation. Below is the presentation given by the first author Kaiming He at the conference.

Sponsored from the IEEE Signal Processing Society, there is a Kaggle contest focusing on identifying the camera that took

an image. Finding footage of a crime caught on tape is an investigator's dream. But even with crystal clear, damning evidence,

one critical question always remains–is the footage real? Today, one way to help authenticate footage is to identify the camera

that the image was taken with.