Paper Title

Enhancing Video Encoding Through Dynamic Saliency Integration and Advanced Video Encoding Techniques

Article Identifiers

Registration ID: IJNRD_216543

Published ID: IJNRD2404346

DOI: Click Here to Get

Authors

Vidya V

Keywords

Video Encoiding, Dynamic Saliency Integration for Video Encoding" (DSIVE), Video coding Standards.

Abstract

In this work, a unique video encoding technology called "Dynamic Saliency Integration for Video Encoding" (DSIVE) is presented. It integrates saliency estimate into the compression process. Using Markov Random Fields (MRF) and processing divisions inside the description layer, the suggested methodology addresses the growing need for high-quality video material on social media and internet platforms. With an AUC score of 0.84 for improved discriminative power, DSIVE outperforms state-of-the-art methods in a rigorous evaluation conducted with MATLAB and specialized hardware. The methodology outperforms in terms of spatial accuracy, precisely predicting the positions of human gaze inside video sequences, with an NSS value of 1.702. The Correlation Coefficient (CC) value of 0.388 demonstrates the model's proficiency in capturing the geographical distribution of human attention by showing a strong linear relationship with ground truth saliency maps. With the Eye Tracking database of Raw movies from Existing Methodologies employed for assessment, DSIVE shows promise in addressing the needs of modern video applications while also offering a technically sound technique and proven effectiveness to the field of video coding standards.

How To Cite (APA)

Vidya V (April-2024). Enhancing Video Encoding Through Dynamic Saliency Integration and Advanced Video Encoding Techniques. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(4), d391-d404. https://ijnrd.org/papers/IJNRD2404346.pdf

Issue

Volume 9 Issue 4, April-2024

Pages : d391-d404

Other Publication Details

Paper Reg. ID: IJNRD_216543

Published Paper Id: IJNRD2404346

Downloads: 000121979

Research Area: Computer Science & Technology 

Country: Bangaore, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404346.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404346

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Call For Paper

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

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Subject Category: Research Area

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