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Source: The Open Library
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1Multimedia Networking and Coding
By V. V. Estrela

“Multimedia Networking and Coding” Metadata:
- Title: ➤ Multimedia Networking and Coding
- Author: V. V. Estrela
- Language: English
- Number of Pages: Median: 354
- Publisher: INTECH
- Publish Date: 2013
- Publish Location: Cyprus
“Multimedia Networking and Coding” Subjects and Themes:
- Subjects: ➤ wireless systems design and applications - multi-view video coding - resilient multimedia transmission - modeling of communication systems - multimedia - Detecção De Movimento - Processamento de Imagens - Computer Vision - Surveillance - Intelligent Content Retrieval - 3D Shape Extraction - Virtual/augmented Reality - Content Creation - 2D to 3D Conversion - Error Concealment - Scene Rendering - Dynamic Scene Acquisition - Video Analysis - Image Compression - 3D TV - Motion Estimation and Compensation - Internet programming - Multimedia communications - Multimedia systems
Edition Identifiers:
- The Open Library ID: OL25422094M
- Library of Congress Control Number (LCCN): 2012033551
- All ISBNs: 1466626607 - 1466626917 - 9781466626911 - 9781466626607
Author's Alternative Names:
"V. Vieira Estrela", "Vania Vieira Estrela" and "Vania V. Estrela"Access and General Info:
- First Year Published: 2013
- Is Full Text Available: No
- Is The Book Public: No
- Access Status: No_ebook
Online Access
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Wiki
Source: Wikipedia
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Search Results from Wikipedia
Motion estimation
In computer vision and image processing, motion estimation is the process of determining motion vectors that describe the transformation from one 2D image
Motion compensation
represented by global motion compensation. Thus, local motion estimation is also needed. Block motion compensation (BMC), also known as motion-compensated discrete
MEMC
protein complex Motion estimation/motion compensation; see Video super resolution § Aligned by motion estimation and motion compensation Mount Elizabeth
Video super-resolution
steps: motion estimation, motion compensation and fusion. The motion compensation transformer (MCT) is used for motion estimation. The sub-pixel motion compensation
Residual frame
having similarities, and therefore requires fewer bits to compress. An encoder will use various algorithms such as motion estimation to construct a frame
Discrete cosine transform
video compression, video coding standards, motion estimation, motion compensation, inter-frame prediction, motion vectors, 3D video coding, local distortion
Quarter-pixel motion
sample positions) as the motion vector precision for motion estimation and motion compensation in video compression schemes.[citation needed] It is used
Digital image processing
luminance and color differences, and color formats such as YUV444 and YUV411. DCTs are also used for encoding operations such as motion estimation, motion compensation
Sum of absolute transformed differences
differences (SATD) is a block matching criterion widely used in fractional motion estimation for video compression. It works by taking a frequency transform, usually
Anil K. Jain (electrical engineer, born 1946)
adaptive image estimation and image data compression", including work on transform coding for image compression and block-based motion compensation for video