High-performance block matching algorithm for high bit-rate real-time video communication
Although the advancements in hardware solutions are growing exponentially along with the communication channels capacity, high quality video encoders for real-time applications are still considered an open area of research. The majority of researchers interested in video encoders target their invest...
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| Published in: | Jordanian Journal of Computers and Information Technology Vol. 4; no. 1; pp. 10 - 24 |
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| Main Author: | |
| Format: | Journal Article |
| Language: | Arabic English |
| Published: |
Amman, Jordan
Princess Sumaya University for Technology
01.04.2018
Scientific Research Support Fund of Jordan Princess Sumaya University for Technology Scientific Research Support Fund of Jordan (SRSF) and Princess Sumaya University for Technology (PSUT) |
| Subjects: | |
| ISSN: | 2413-9351, 2415-1076 |
| Online Access: | Get full text |
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| Summary: | Although the advancements in hardware solutions are growing exponentially along with the communication
channels capacity, high quality video encoders for real-time applications are still considered an open area of
research. The majority of researchers interested in video encoders target their investigations towards motion
estimation and block matching algorithms. Many algorithms that aim to reduce the total number of required
mathematical operations when compared to Full Search have been proposed. However, the results often
converge to local minima and a significant amount of computations is still required. Therefore, in this research,
a hierarchy-based block matching method that facilitates the transmission of high bit-rate videos over standard
communication methods is proposed. The proposed algorithm is based on the frequency domain, where the
algorithm examines the similarities between a chosen frequency subset, which significantly reduces the total
number of comparisons and the total mathematical computations required per block. |
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISSN: | 2413-9351 2415-1076 |
| DOI: | 10.5455/jjcit.71-1511348607 |