A Testbed and Methodology for Comparing Live Video Frame Rate Control Methods

Bajić, Ivan V.; Ma, Xiaonan

doi:10.1109/lsp.2010.2090869

Cited by 1 publication

(1 citation statement)

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“…A testbed and computed motion activity to achieve a real-time variable frame rate for live video has been proposed [16], and frame layer control, which is considered a low complexity method, can achieve an approximately real-time effect. Motion detection is done, but high-level information, such as moving object, is not.…”

Section: Related Workmentioning

confidence: 99%

Object-Based Approach for Adaptive Source Coding of Surveillance Video

2019

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Intelligent analysis of surveillance videos over networks requires high recognition accuracy by analyzing good-quality videos that however introduce significant bandwidth requirement. Degraded video quality because of high object dynamics under wireless video transmission induces more critical issues to the success of smart video surveillance. In this paper, an object-based source coding method is proposed to preserve constant quality of video streaming over wireless networks. The inverse relationship between video quality and object dynamics (i.e., decreasing video quality due to the occurrence of large and fast-moving objects) is characterized statistically as a linear model. A regression algorithm that uses robust M-estimator statistics is proposed to construct the linear model with respect to different bitrates. The linear model is applied to predict the bitrate increment required to enhance video quality. A simulated wireless environment is set up to verify the proposed method under different wireless situations. Experiments with real surveillance videos of a variety of object dynamics are conducted to evaluate the performance of the method. Experimental results demonstrate significant improvement of streaming videos relative to both visual and quantitative aspects.

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Section: Related Workmentioning

confidence: 99%