JA Purity IV
  • HOME
    • Business
    • Corporate
    • Logistics
    • Product
    • News / Magazine
  • MTECH PROJECTS
    • COMPUTER SCIENCE
      • MTech Python Projects
        • Machine Learning Projects
        • Deep Learning Projects
        • Blockchain Projects
        • django Projects
      • MTech Java Projects
        • Cloud Computing Projects
        • Data Mining Projects
        • Mobile Computing Projects
        • Networking Projects
      • MTech NS2 Projects
        • Wireless Communication Projects
        • Vehicular Technology Projects
      • MTech Hadoop Projects
      • MTech Android Projects
    • ELECTRONICS
      • MTech DSP Projects
      • MTech DIP Projects
      • MTech VLSI Projects
      • MTech Communication Projects
    • ELECTRICAL
      • MTech Power Systems Projects
      • MTech Power Electronics Projects
      • MTech Control Systems Projects
    • OTHER
      • Chemical Projects
      • Mechanical Projects
      • All Other Projects
  • EMBEDDED KITS
    • MTech Embedded Kits
    • BTech Embedded Kits
  • PROJECTS+
  • PUBLISHING
    • Research Publishing
    • Authors Guidelines
    • Publishing Policy
  • CONTACT US

Contact Us

  • 4517 Washington Ave. Manchester, Kentucky 39495
  • (201) 555-0124
  • hello@purityiv.com

Welcome to MTech Projects - Online Projects for MTech Students

  • My Account
  • Careers
  • Downloads
  • Blog
JA Purity IV
  • Email Us
  • Phone Number
  • Open Hours
  • HOME
    • Business
    • Corporate
    • Logistics
    • Product
    • News / Magazine
  • MTECH PROJECTS

    MTech Python Projects

    • Machine Learning Projects
    • Deep Learning Projects
    • Blockchain Projects
    • django Projects

    MTECH JAVA PROJECTS

    • Cloud Computing Projects
    • Data Mining Projects
    • Mobile Computing Projects
    • Networking Projects

    MTECH NS2 PROJECTS

    • Wireless Communication Projects
    • Vehicular Technology Projects
    • MTech Hadoop Projects
    • MTech Android Projects

    ELECTRONICS

    • MTech DSP Projects
    • MTech DIP Projects
    • MTech VLSI Projects
    • MTech Communication Projects

    ELECTRICAL

    • MTech Power Systems Projects
    • MTech Power Electronics Projects
    • MTech Control Systems Projects

    OTHER

    • Chemical Projects
    • Mechanical Projects
    • All Other Projects
  • EMBEDDED KITS
    • MTech Embedded Kits
    • BTech Embedded Kits
  • PROJECTS+
  • PUBLISHING
    • Research Publishing
    • Authors Guidelines
    • Publishing Policy
  • CONTACT US

Project Enquiry

  1. You are here:  
  2. Home
  3. MTech DIP Projects
  4. Novel Integration of Frame Rate Up Conversion and HEVC Coding Based on Rate-Distortion Optimization - 2018
Details
Category: MTech DIP Projects
By MTech Projects
MTech Projects
28.Nov
Hits: 2

Novel Integration of Frame Rate Up Conversion and HEVC Coding Based on Rate-Distortion Optimization - 2018

PROJECT TITLE :

Novel Integration of Frame Rate Up Conversion and HEVC Coding Based on Rate-Distortion Optimization - 2018

ABSTRACT:

Frame rate up conversion (FRUC) will improve the visual quality by interpolating new intermediate frames. However, high frame rate videos by FRUC are confronted with additional bitrate consumption or annoying artifacts of interpolated frames. In this Project, a unique integration framework of FRUC and high efficiency video coding (HEVC) is proposed based mostly on rate-distortion optimization, and also the interpolated frames will be reconstructed at encoder side with low bitrate price and high visual quality. First, joint motion estimation (JME) algorithm is proposed to obtain sturdy motion vectors, that are shared between FRUC and video coding. What's a lot of, JME is embedded into the coding loop and employs the first motion search strategy in HEVC coding. Then, the frame interpolation is formulated as a rate-distortion optimization downside, where both the coding bitrate consumption and visual quality are taken under consideration. Because of the absence of original frames, the distortion model for interpolated frames is established per the motion vector reliability and coding quantization error. Experimental results demonstrate that the proposed framework can achieve 21% ~ forty two% reduction in BDBR, when put next with the ancient methods of FRUC cascaded with coding.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

Previous article: NIQSV+ A No-Reference Synthesized View Quality Assessment Metric - 2018 NIQSV+ A No-Reference Synthesized View Quality Assessment Metric - 2018 Next article: Object-Part Attention Model for Fine-Grained Image Classification - 2018 Object-Part Attention Model for Fine-Grained Image Classification - 2018
COMPUTER SCIENCE PROJECTS ELECTRONICS PROJECTS MTech DSP Projects MTech DIP Projects MTech VLSI Projects MTech VHDL Projects MTech Verilog Projects MTech Communication Projects ELECTRICAL PROJECTS EMBEDDED PROJECTS MECHANICAL PROJECTS

sell academic m.tech, btech and be projects online

sell academic m.tech, btech and be projects online

Academic Final Year Projects

QUICK LINKS

  • Python Projects
  • Java Projects
  • Android Projects
  • Digital Signal Processing
  • Image Processing Projects
  • VLSI Projects
  • Power Systems
  • Power Electronics
SUPPORT
+91 9573777164
9:00am - 6:00pm IST
info@mtechprojects.com

Navigate

  • ABOUT
  • TESTIMONIALS
  • FIND A DEALER
  • CAREERS

CONTACT

  • CONTACT
  • FAQ
  • RESOURCES
  • EMAIL US

Useful links

  • REFUND & RETURN POLICY
  • PRIVACY POLICIES

Support

  • FACEBOOK
  • TWITTER
  • PINTEREST
  • GOOGLE PLUS
Copyright © 2026 MTech Projects. All Rights Reserved.