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dc.contributor.authorAsral Bahari, Jambek, Dr.
dc.date.accessioned2014-07-09T03:31:10Z
dc.date.available2014-07-09T03:31:10Z
dc.date.issued2014-05
dc.identifier.urihttp://dspace.unimap.edu.my:80/dspace/handle/123456789/36137
dc.descriptionReceived a Gold medal in 25th International Invention, Innovation & Technology Exhibition (ITEX'14), 8th-10th May at Kuala Lumpur Convention Centre.en_US
dc.description.abstractThe product prediction video motion with 60% energy saving compared to existing product with the same prediction accuracy. This is achieved through two novel techniques: • QBMO • Adaptive Bit Selection (ABS). These techniques reduces motion prediction computational load while maintaining high motion prediction quality.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.relation.ispartofseries25th International Invention, Innovation & Technology Exhibition;ITEX'14
dc.subjectInternational Invention, Innovation & Technology Exhibition (ITEX'14)en_US
dc.subjectVideo compressionen_US
dc.subjectAlgorithmen_US
dc.subjectPrediction video motionen_US
dc.titleLow energy fast motion estimation algorithm to compress video dataen_US
dc.typeOtheren_US
dc.publisher.departmentSchool of Microelectronic Engineeringen_US
dc.contributor.urlasral@unimap.edu.myen_US


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