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More elaborate quality estimation methods such as the video quality metric (VQM) [46] algorithm may be advantageously employed.
Baseline vectors and spatial adjustments of the GPS network were calculated after study of data processing and quality estimation methods.
There are no-reference visual quality estimation methods which combine features from the coded bitstream and some statistics from the decoded media.
Hence, PMP aims to address these issues in the following way: as next category in CAMEO, we will implement the evaluation of model quality estimation methods.
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Subjective evaluation of the proposed method demonstrates favorable results for our quality estimation method.
A motion-based visual quality estimation method was proposed in[158] for H.264/AVC encoded videos.
We employ a simple channel quality estimation method using the signal strength of the OFDM symbol.
The distortion identification-based image quality estimation method proposed in[103] offers an NSS-based approfch of image quality prediction framework and algorithm.
Our method is independent of connectivity, shading, and material properties; which offers a general-purpose quality estimation method that is not application-specific.
In this paper, we propose a channel quality estimation method based on the concept of Gaussian process regression to predict users' channel states for varying user mobility profiles.
One such example is the fusion of artifacts like blocking or blurring with parameters derived from motion vectors to build up a quality estimation method.
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