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