A Fast Prediction based on Pooled Reference Frames in Multi -View Video Coding

Coding of multiple video frames simultaneously from multiple cameras demands the need for compression by predicting from an apt reference frame to extract the inter-view redundancy. The proposal in this paper is a fast and novel method to pool the reference frames used for prediction across multiple views. The frames in pooled reference frame buffer are strategically chosen from those views which divide the total number of camera views equidistantly. The choice of the reference frames is dynamic from a pooled reference frame buffer which acts for a quick reference for prediction of multiple frames of multiple views. The order of prediction is simplified by choosing the pooled reference frame first followed by the previous frame in the same view then by the same frame instance in the previous view. When using a pooled reference frame to predict, average gain of 0.5dB PSNR (Peak Signal-to-Noise Ratio) and an increase in coding speed by 30% is recorded.

Authors

Publication Details

Journal
International Journal of Engineering & Technology
Published
2026-04-25
DOI
https://doi.org/10.14419/ijet.v7i3.24.22805
Primary Topic
Video Coding and Compression Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Fast Prediction based on Pooled Reference Frames in Multi -View Video Coding

Dr. P Ramana Reddy, B Ranjit Reddy
International Journal of Engineering & Technology
Video Coding and Compression Technologies
article

A Fast Prediction based on Pooled Reference Frames in Multi -View Video Coding

Dr. P Ramana Reddy, B Ranjit Reddy
article en

Abstract

Coding of multiple video frames simultaneously from multiple cameras demands the need for compression by predicting from an apt reference frame to extract the inter-view redundancy. The proposal in this paper is a fast and novel method to pool the reference frames used for prediction across multiple views. The frames in pooled reference frame buffer are strategically chosen from those views which divide the total number of camera views equidistantly. The choice of the reference frames is dynamic from a pooled reference frame buffer which acts for a quick reference for prediction of multiple frames of multiple views. The order of prediction is simplified by choosing the pooled reference frame first followed by the previous frame in the same view then by the same frame instance in the previous view. When using a pooled reference frame to predict, average gain of 0.5dB PSNR (Peak Signal-to-Noise Ratio) and an increase in coding speed by 30% is recorded.

International Journal of Engineering & TechnologyVol. 7(3.24)
Openalex Percentile: Top 4%
Video Coding and Compression Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.