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https://ruomo.lib.uom.gr/handle/7000/695
Τίτλος: | Context-aware block-based motion estimation algorithm for multimedia internet of things (IoT) platform |
Συγγραφείς: | Saha, Avishek Lee, Young-Woon Hwang, Young-Sup Psannis, Kostas E. Kim, Byung-Gyu |
Τύπος: | Article |
Θέματα: | FRASCATI::Engineering and technology FRASCATI::Engineering and technology::Electrical engineering, Electronic engineering, Information engineering |
Λέξεις-Κλειδιά: | internet of things (IoT) Block-based motion estimation Motion degree Adaptive pattern HEVC |
Ημερομηνία Έκδοσης: | 2018 |
Εκδότης: | Springer |
Πηγή: | Personal and Ubiquitous Computing |
Τόμος: | 22 |
Τεύχος: | 1 |
Πρώτη Σελίδα: | 163 |
Τελευταία Σελίδα: | 172 |
Επιτομή: | Shaping video data into fast-responding transmission and high resolution output video using cost-effective video processing is desirable in many applications including Internet of Things (IoT) applications. In association with rapid development of IoT smart sensor applications, real-time processing of huge-amount of data for a video signal has become necessary leading to video compression technology. Motion estimation (ME) is necessary for improving the quality, but it has high computational complexity in video compression system. The present article, therefore, proposes a context-aware adaptive pattern-based ME algorithm for multimedia IoT platform to improve video compression. In the proposed algorithm, the motions are classified into large or small based on distortion value. Accordingly, the search pattern is chosen either small diamond search pattern (SDSP) or large diamond search pattern (LDSP) in each and every step of ME; allowing adaptive processing of large and small abstract information. Compared to conventional fast algorithms, the experimental results demonstrate up to 40 and 36% reduction in encoding time for low-delay main (LB-main) and random access main (RA-main) profiles respectively in HEVC test model 16.10 encoder with bit-rate loss of 0.071 and 0.246% for both the profiles, ensuring quality video and searching precision |
URI: | https://doi.org/10.1007/s00779-017-1058-5 https://ruomo.lib.uom.gr/handle/7000/695 |
ISSN: | 1617-4909 1617-4917 |
Αλλοι Προσδιοριστές: | 10.1007/s00779-017-1058-5 |
Εμφανίζεται στις Συλλογές: | Τμήμα Εφαρμοσμένης Πληροφορικής |
Αρχεία σε αυτό το Τεκμήριο:
Αρχείο | Περιγραφή | Μέγεθος | Μορφότυπος | |
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Context-aware block-based motion estimation algorithmfor multimedia internet of things (IoT) platform.pdf | Context-aware block-based motion estimation algorithmfor multimedia internet of things (IoT) platform kpsannis .pdf | 906,91 kB | Adobe PDF | Προβολή/Ανοιγμα |
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