Motion Estimation Algorithms for H.264/AVC using Modified AOS Methods - Srinivas Bachu
-20% with code BOOKS
Shipping in 15-21 days
30-day return policy
The video stream represents the continuous and rapid flow of image files. The video coding performs the compression of both image and audio information. The video compression standards associated to ITU-T and ISO are MPEG-X and H.26X standards. The H.264/AVC is leading video compression standard and it has been adopted in many video coding applications. In order to compress the video for efficient transmiss ... Full description
You May Also Like
TOP
INCOSE Systems Engineering Handbook
-20% with code BOOKS
In stock at our supplier
TOP
If Anyone Builds It, Everyone Dies: The Case Against Superintelligent AI
Eliezer Yudkowsky, Nate Soares
-20% with code BOOKS
In stock at our supplier
TOP
The Design of Everyday Things
-20% with code BOOKS
In stock at our supplier
TOP
Open Circuits: The Inner Beauty of Electronic Components
Eric Schlaepfer, Windell Oskay
-20% with code BOOKS
In stock at our supplier
TOP
Get started with MicroPython on Raspberry Pi Pico: The Official Raspberry Pi Pico Guide
-20% with code BOOKS
In stock at our supplier
TOP
Practical Electronics for Inventors
-20% with code BOOKS
In stock at our supplier
TOP
Nucleo Boards Programming with the STM32CubeIDE: Hands-on in more than 50 projects
-20% with code BOOKS
In stock at our supplier
TOP
Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
Steven L. Brunton, J. Nathan Kutz
-20% with code BOOKS
In stock at our supplier
TOP
Fundamentals of Aerodynamics ISE
Christopher Cadou, John D. Anderson
-20% with code BOOKS
In stock at our supplier
TOP
Black Holes: The Key to Understanding the Universe
-20% with code BOOKS
In stock at our supplier
TOP
KiCad Like A Pro - Fundamentals and Projects: Getting started with the world's best open-source PCB tool
-20% with code BOOKS
In stock at our supplier
TOP
How To Read Water: Clues & Patterns from Puddles to the Sea
-20% with code BOOKS
In stock at our supplier
TOP
Foundations of Flavor: The Noma Guide to Fermentation: Including Step-By-Step Information on Making and Cooking with: Koji, Kombuchas, Shoyus, Misos, Vinegars, Garums, Lacto-Ferments and black Fruits Vegetables
-20% with code BOOKS
In stock at our supplier
TOP
Make: Electronics: Learning by Discovery: A hands-on primer for the new electronics enthusiast
-20% with code BOOKS
In stock at our supplier
TOP
The Idea Factory: Bell Labs and the Great Age of American Innovation
-20% with code BOOKS
In stock at our supplier
TOP
Flowers For Algernon: A Modern Literary Classic
-20% with code BOOKS
In stock at our supplier
TOP
Professional SMD Assembly: Practical Low-Cost Methods for Reliable PCB Production
-20% with code BOOKS
In stock at our supplier
TOP
Blood in the Machine: The Origins of the Rebellion Against Big Tech
-20% with code BOOKS
In stock at our supplier
Description
The video stream represents the continuous and rapid flow of image files. The video coding performs the compression of both image and audio information. The video compression standards associated to ITU-T and ISO are MPEG-X and H.26X standards. The H.264/AVC is leading video compression standard and it has been adopted in many video coding applications. In order to compress the video for efficient transmission and storage, the redundancy among adjacent frames must be exploited. A frame is selected as reference and subsequent frames are predicted from the reference frame using a technique known as motion estimation. The purpose of achieving redundancy in motion compensated prediction is to find the best possible block matching without considering a large number of search points to minimize the compression efficiency. In this research work, two approaches concerned with the block matching for making easy of computation in finding the frame proposed on H.264/AVC. In the first approach, Adaptive Order Square Hexagon (AOSH) search algorithm was developed. In the second approach, Adaptive Order Cross Square Hexagon (AOCSH) search algorithm.
More Information
| Author | Srinivas Bachu |
|---|---|
| Publisher | LAP LAMBERT Academic Publishing |
| Release year | 2018 |
| Cover type | Softcover |
| EAN | 9783659964992 |