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CVPR
2010
IEEE

Visual Recognition and Detection Under Bounded Computational Resources

14 years 7 months ago
Visual Recognition and Detection Under Bounded Computational Resources
Visual recognition and detection are computationally intensive tasks and current research efforts primarily focus on solving them without considering the computational capability of the devices they run on. In this paper we explore the challenge of deriving methods that consider constraints on computation, appropriately schedule the next best computation to perform and finally have the capability of producing reasonable results at any time when a solution is required. We specifically derive an approach for the task of object category localization and classification in cluttered, natural scenes that can not only produce anytime results but also utilize the principle of value-of-information in order to provide the most recognition bang for the computational buck. Experiments on two standard object detection challenges show that the proposed framework can triage computation effectively and attain state-of-the-art results when allowed to run till completion. Additionally, the real bene...
Sudheendra Vijayanarasimhan, Ashish Kapoor
Added 03 Apr 2010
Updated 14 May 2010
Type Conference
Year 2010
Where CVPR
Authors Sudheendra Vijayanarasimhan, Ashish Kapoor
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