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At Kodak, the work on intelligent systems focuses on several areas within the broad fields of computer science and artificial intelligence. Together, these capabilities enable richer and more intuitive interaction with visual data in digital systems
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Machine Learning
Techniques for automatically building models of complex systems to discover patterns, track the state of the system, and make predictions about future events. |
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Computer Vision
Techniques for interpreting images and video for purposes such as recognizing objects and people, tracking moving objects, or recognizing complex activities. |
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Computational Photography
This area is a combination of image processing, computer vision, and graphics, and is concerned with methods for synthesizing or reconstructing images and video from other images and data sources. |
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Human-Computer Interaction
Research in human-computer interaction that explores novel ways in which people and groups can interact with and share images, videos, and other digital assets. This area also includes cognitive science research on human performance and preferences in media-related activities. |
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Automated Planning
Often there is not a one-to-one correspondence between goals and the actions that may be performed. This area focuses on the problem of choosing and sequencing a set of actions to achieve a goal in a near-optimal manner. |
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Ubiquitous Computing
This interdisciplanary field explores the rapidly growing world of distributed sensing, communication, and computational devices. Much of the work focuses on using machine learning techniques to interpret the multi-modal data, including images, GPS, audio, and motion, from mobile, wearable, and embedded devices. |
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