Finding ways to monitor and control the perceptual quality of digital visual media has
become a pressing concern as the volume being transported and viewed continues to …

Motivated by the proliferation of low-cost digital cameras in mobile devices being deployed
in automated surveillance networks, we study the interaction between perceptual image …

The existing body of work on video object tracking (VOT) algorithms has studied various
image conditions such as occlusion, clutter, and object shape, which influence video quality …

BACKGROUND Automated event recognition in Video data has numerous practical
applications for security and transportation. The ability to recognize events depends on …

In many cases, the predictive power of structured models for for complex vision tasks is
limited by a trade-off between the expressiveness and the computational tractability of the …

The performance of computer vision algorithms can severely degrade in the presence of a
variety of distortions. While image enhancement algorithms have evolved to optimize image …

Abstract Machine vision quality (MVQ) assessment for face detection refers to image quality
as judged by face detection algorithms. While perceptual image quality usually depends on …

As cloud diversifies into different application fields, understanding and characterizing the
specific work load sand application requirements play important roles in the design of …

We quantify the degradation in performance of a popular and effective face detector when
human–perceived image quality is degraded by distortions due to additive white gaussian …

Wireless camera networks are ubiquitously deployed in various distributed sensing
applications. The basic functions of each sensor node include video capture, video …