Version 1
: Received: 27 August 2023 / Approved: 28 August 2023 / Online: 29 August 2023 (09:32:42 CEST)
Version 2
: Received: 30 August 2023 / Approved: 30 August 2023 / Online: 31 August 2023 (08:43:17 CEST)
How to cite:
Pashike, V.R.R.; SINGAM, A.K.; Shahid, M. Human Perceptions Based on Translations of Recurrent Neural Networks Principles for Low Latency Applications. Preprints2023, 2023081931. https://doi.org/10.20944/preprints202308.1931.v1
Pashike, V.R.R.; SINGAM, A.K.; Shahid, M. Human Perceptions Based on Translations of Recurrent Neural Networks Principles for Low Latency Applications. Preprints 2023, 2023081931. https://doi.org/10.20944/preprints202308.1931.v1
Pashike, V.R.R.; SINGAM, A.K.; Shahid, M. Human Perceptions Based on Translations of Recurrent Neural Networks Principles for Low Latency Applications. Preprints2023, 2023081931. https://doi.org/10.20944/preprints202308.1931.v1
APA Style
Pashike, V.R.R., SINGAM, A.K., & Shahid, M. (2023). Human Perceptions Based on Translations of Recurrent Neural Networks Principles for Low Latency Applications. Preprints. https://doi.org/10.20944/preprints202308.1931.v1
Chicago/Turabian Style
Pashike, V.R.R., AMITESH KUMAR SINGAM and Muhammad Shahid. 2023 "Human Perceptions Based on Translations of Recurrent Neural Networks Principles for Low Latency Applications" Preprints. https://doi.org/10.20944/preprints202308.1931.v1
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.
Keywords
Neural Networks; Data Screening; Human Perception
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
