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- W4386310439 abstract "The Necessity of Human resources beyond perception of human understanding towards the Evaluation of video quality or Data screening methodology is conducted based on human perception level since it is concerned with how visual content is perceived by a observer based on observations with his/ her perception on a particular video sequence. Therefore, we considered that the subject has to grade the encoded video sequences under certain test environment conditions based on ITU-Recommendations. Since Human perception is considered as the true judgment and precise measurement of visual content, data screening has became quite essential and quite comfortable to general public due to introduction of User Experience (UX) concept by User Experience community. User Experience is an concept based on translations of A recurrent neural network which is mostly used algorithm based on certain principles, for instance we considered natural language processing and moreover recurrent neural networks is adaptable towards understanding sequential data and use patterns to predict the consistency within observers by invited subjects for quality assessment. In our research, we adapted principles based on Recurrent Neural Networks while assuming consistency within observers for predicting video quality within data screening environment towards subjective experiments. Moreover, this research work explores the tradeoffs between Human perception on visual content and consistency of observations within individual observer." @default.
- W4386310439 created "2023-09-01" @default.
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- W4386310439 date "2023-08-29" @default.
- W4386310439 modified "2023-10-14" @default.
- W4386310439 title "Human Perceptions Based on Translations of Recurrent Neural Networks Principles for Low Latency Applications" @default.
- W4386310439 doi "https://doi.org/10.20944/preprints202308.1931.v1" @default.
- W4386310439 hasPublicationYear "2023" @default.
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