The technology we use, and even rely on, in our everyday lives –computers, radios, video, cell phones – is enabled by signal processing. Learn More »
1. IEEE Signal Processing Magazine
2. Signal Processing Digital Library*
3. Inside Signal Processing Newsletter
4. SPS Resource Center
5. Career advancement & recognition
6. Discounts on conferences and publications
7. Professional networking
8. Communities for students, young professionals, and women
9. Volunteer opportunities
10. Coming soon! PDH/CEU credits
Click here to learn more.
News and Resources for Members of the IEEE Signal Processing Society
The Intelligence Advanced Research Projects Activity (IARPA) will host a Proposers' Day Conference for the Finder Program on May 11, 2011, in anticipation of the release of a new solicitation in support of the program. Deadline for registration is May 4, 2011 5:00PM EST.
It is common today for even consumer-grade cameras to tag the images and videos that they capture with the location of the camera on the earth’s surface (“geolocation”). But, some imagery does not have a geolocation tag and it is important to know the location of the camera or image, and hence objects in the scene. For this imagery, analysts work hard to deduce as much as they can using reference data from many sources, including overhead and ground-based images, digital elevation data, existing well-understood image collections, surface geology, geographic and cultural information. However, such image/video geolocation is an extremely time-consuming and labor-intensive activity that often meets with limited success.
A growing set of research and consumer-oriented systems have developed useful and relevant capabilities using techniques that include large-scale ground-level image acquisition, crowd-sourcing, and sophisticated image matching. These largely automated systems tend to work best in geographic areas with significant population densities or that are well traveled by tourists, and where the query image or video contains notable features such as mountains or buildings.
The Finder Program aims to build on existing research systems to develop technology that augments the analyst's expertise to address the geolocation task. Required technical innovations include 1) efficient and effective use of analyst time and knowledge, 2) effective use of a wide variety of data sources, 3) fusion of diverse publicly available imperfect reference data, and 4) expansion of automated geolocation technologies to work efficiently and accurately over all terrain and large search areas. If successful, Finder will deliver rigorously tested technology capable of addressing the geolocation task for images and video anywhere on the land surface of the earth.
For more information see: http://www.iarpa.gov/solicitations_finder.html
Nomination/Position | Deadline |
---|---|
Call for Proposals: 2025 Cycle 1 Seasonal Schools & Member Driven Initiatives in Signal Processing | 17 November 2024 |
Call for Nominations: IEEE Technical Field Awards | 15 January 2025 |
Nominate an IEEE Fellow Today! | 7 February 2025 |
Call for Nominations for IEEE SPS Editors-in-Chief | 10 February 2025 |
Home | Sitemap | Contact | Accessibility | Nondiscrimination Policy | IEEE Ethics Reporting | IEEE Privacy Policy | Terms | Feedback
© Copyright 2024 IEEE - All rights reserved. Use of this website signifies your agreement to the IEEE Terms and Conditions.
A public charity, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.