Neural Network-Based Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimal Dynamic Rate Shaping for Compressed Video Streaming
ICN '01 Proceedings of the First International Conference on Networking-Part 2
Real Time Face and Object Tracking as a Component of a Perceptual User Interface
WACV '98 Proceedings of the 4th IEEE Workshop on Applications of Computer Vision (WACV'98)
Constrained and general dynamic rate shaping of compressed digital video
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 3)-Volume 3 - Volume 3
A Distributed Visual Surveillance System
AVSS '03 Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance
Invariant Feature Extraction and Biased Statistical Inference for Video Surveillance
AVSS '03 Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance
Regularized discriminant analysis for the small sample size problem in face recognition
Pattern Recognition Letters
Prioritized Region of Interest Coding in JPEG2000
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Critical video quality for distributed automated video surveillance
Proceedings of the 13th annual ACM international conference on Multimedia
An object-based video coding framework for video sequences obtained from static cameras
Proceedings of the 13th annual ACM international conference on Multimedia
KNIGHT/spl trade/: a real time surveillance system for multiple and non-overlapping cameras
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Content-adaptive utility-based video adaptation
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 3 (ICME '03) - Volume 03
DOTS: support for effective video surveillance
Proceedings of the 15th international conference on Multimedia
Face recognition vendor test 2002 performance metrics
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
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Many distributed multimedia applications rely on video analysis algorithms for automated video and image processing. Little is known, however, about the minimum video quality required to ensure an accurate performance of these algorithms. In an attempt to understand these requirements, we focus on a set of commonly used face analysis algorithms. Using standard datasets and live videos, we conducted experiments demonstrating that the algorithms show almost no decrease in accuracy until the input video is reduced to a certain critical quality, which amounts to significantly lower bitrate compared to the quality commonly acceptable for human vision. Since computer vision percepts video differently than human vision, existing video quality metrics, designed for human perception, cannot be used to reason about the effects of video quality reduction on accuracy of video analysis algorithms. We therefore investigate two alternate video quality metrics, blockiness and mutual information, and show how they can be used to estimate the critical video qualities for face analysis algorithms.