Video Analytics in the Compressed Domain

Authored by: Bernal Edgar A. , Loce Robert P.

Encyclopedia of Image Processing

Print publication date:  November  2018
Online publication date:  November  2018

Print ISBN: 9781482244908
eBook ISBN: 9781351032742
Adobe ISBN:

10.1201/9781351032742-140000488

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Abstract

Digital cameras are being deployed to capture video data used in applications such as surveillance, traffic law enforcement, and environmental monitoring. As cameras become interconnected, they make up large-scale, distributed, and heterogeneous camera networks. While the characteristics of the cameras that make up these camera networks may vary widely (e.g., pixel resolution, viewing angle, color capabilities, and frame rate, among others), all existing networks must cope with limitations common to their supporting infrastructures, namely, storage and transmission bandwidth limitations. Consequently, modern video compression technologies are as pervasive as digital cameras. While most ongoing research on video compression is aimed at improving computational complexity and compression efficiency, a subset of recent work on video compression and video analytics has focused on exploiting the feature-rich nature of video data in the compressed domain in order to more effectively support the aforementioned video analytics applications.

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