MPEG Video Compression Basics
| Autor: | A. Puri, B. G. Haskell |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Motion compensation
Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Frame rate Motion vector Video compression picture types Redundancy (information theory) Discrete cosine transform Computer vision Artificial intelligence Multiview Video Coding business Data compression |
| Zdroj: | The MPEG Representation of Digital Media ISBN: 9781441961839 |
| Popis: | Video signals differ from image signals in several important characteristics. Of course the most important difference is that video signals have a camera frame rate of anywhere from 15 to 60 frames/s, which provides the illusion of smooth motion in the displayed signal.1 Another difference between images and video is the ability to exploit temporal redundancy as well as spatial redundancy in designing compression methods for video. For example, we can take advantage of the fact that objects in video sequences tend to move in predictable patterns, and can therefore be motion-compensated from frame-to-frame if we can detect the object and its motion trajectory over time. |
| Databáze: | OpenAIRE |
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