Book chapter
Transmission Rate Prediction of VBR Motion Image Using the Kalman Filter
Computational Science and Its Applications - ICCSA 2006, pp 106-113
2006
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
We propose a transmission rate prediction method of video data. The proposed method uses a Kalman filter for predicting transmission rate. It used algorithm to detect shot transition information by high speed in compressed domain in order to grasp precise shot transition of video data and classified into abrupt shot transition type and gradual shot transition type. Classified information is used as factors of Kalman filter and to predict transmission rate of video data. It predicted transmission rate with 96.2 ~ 97.6% in the experiment.
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Details
- Title
- Transmission Rate Prediction of VBR Motion Image Using the Kalman Filter
- Creators
- Won Kim - School of Industrial Design & Art, Jeonju Kijeon College, KoreaHyo-Jong Jang - Soongsil UniversityGye-Young Kim - Soongsil University
- Publication Details
- Computational Science and Its Applications - ICCSA 2006, pp 106-113
- Series
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg; Berlin, Heidelberg
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems; Drexel University
- Web of Science ID
- WOS:000237646100012
- Scopus ID
- 2-s2.0-33745912238
- Other Identifier
- 991019415664104721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Information Systems
- Computer Science, Theory & Methods