Fast Subpixel Motion Estimation Based on Human Visual System

More than 80% of video coding times are consumed by motion estimation calculations, which are the most complex aspect of the process. This method eliminates temporal redundancies in a video sequence to achieve maximum compression. Numerous efforts have been made to bring calculations closer to real...

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Bibliographic Details
Published in:International journal of intelligent systems 2024-01, Vol.2024 (1)
Main Authors: Hosseini Avashanagh, Dadvar, Nooshyar, Mehdi, Barghandan, Saeed, Ghandchi, Majid
Format: Article
Language:English
Subjects:
Algorithms
Coding standards
Collaboration
Efficiency
Frames (data processing)
Human motion
Image compression
Image quality
Motion simulation
Pixels
Quality standards
Real time
Sequences
Video compression
Visual aspects
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Summary:More than 80% of video coding times are consumed by motion estimation calculations, which are the most complex aspect of the process. This method eliminates temporal redundancies in a video sequence to achieve maximum compression. Numerous efforts have been made to bring calculations closer to real time, yielding fruitful results. This study proposes a fast subpixel motion estimation algorithm for video encoding with fewer search points. This method employs the capabilities of human visual systems (HVSs), physical motion characteristics of real‐world objects, and special image information from successive frames. The number of search points (NSP) using the statistical data of the movement of the blocks in the frames of video sequences is reduced to apply fewer calculations to the system while maintaining the quality of images. Therefore, it is possible to approach fast and real‐time calculations instead of time‐consuming algorithms by accurately modeling this algorithm.
ISSN:0884-8173
1098-111X
DOI:10.1155/2024/6168548