Amitesh Kumar Singam

India Halmstad university

ORCID
Published in 2023
Comparative Studies of Unsupervised and Supervised Learning Methods based on Multimedia Applications
Authors: -
Journal: ArXiv
ORCID
Published in 2023
Revised One, a Full Reference Video Quality Assessment Based on Statistical Based Transform Coefficient
Authors: -
Journal: SSRN Electronic Journal
ORCID
Published in 2023
A Review on Just Noticeable Difference(JND) Quality Metric towards its Drawbacks and Limitations
Authors: -
Journal: SSRN Electronic Journal
ORCID
Published in 2023
An Error Concealment based on Translations of Generalized Neural Networks
Authors: -
Journal: SSRN Electronic Journal
ORCID
Published in 2023
Classification Review of Raw Subjective Scores towards Statistical Analysis
Authors: -
Journal: SSRN Electronic Journal
ORCID
Published in 2023
Coding Estimation based on Rate Distortion Control of H.264 Encoded Videos for Low Latency Applications
Authors: -
Journal: ArXiv
ORCID
Published in 2023
Full Reference Video Quality Assessment Based on Statistical Based Transform Coefficients
Authors: Amitesh Kumar Singam, Mohammad Shahid
Journal: SSRN Electronic Journal
ORCID
Published in 2023
PROGRESSIVE STUDIES OVER SPARSENESS OF LEAST SQUARES SUPPORT VECTOR MACHINES BASED ON HYPOTHETICAL ASSUMPTION
Authors: Amitesh Kumar Singam, Bharat Reddy Ramancha, Venkat Raj Reddy Pashike, Mohammad Shahid
Journal: International Journal of Scientific Research and Management
Description:
No Reference (NR) Video Quality Assessment is the one which is most needed in situations where the handiness of reference video is partially available which is our Hypothetical assumption due to issue raised by reviewers since we used DCT Coefficients in our past research work. Our research work explores the tradeoffs between quality prediction and Video compression. Therefore, we implemented least square support vector regression algorithm as NR-based Video Quality Metric (VQM) for quality estimation with simplified input features based on DCT coefficients (Hypothetical assumption). We concluded that our proposed model overcame sparseness due to hypothetical Assumption.
ORCID
Published in 2023
CLASSIFICATION REVIEW OF RAW SUBJECTIVE SCORES TOWARDS STATISTICAL ANALYSIS
Authors: -
Journal: International Journal of Scientific Research and Management
ORCID
Published in 2023
Comparative Studies of Unsupervised and Supervised Learning Methods based on Multimedia Applications
Authors: -
Journal: ArXiv