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Depth-Map Image Compression Based on Region and Contour Modeling
Ionut Schiopu
Tutkimustuotos
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Collection of Articles
1078
Lataukset (Pure)
Yleiskatsaus
Sormenjälki
Sormenjälki
Sukella tutkimusaiheisiin 'Depth-Map Image Compression Based on Region and Contour Modeling'. Ne muodostavat yhdessä ainutlaatuisen sormenjäljen.
Järjestys:
Painoarvo
Aakkosjärjestyksessä
Computer Science
Predictive Coding
100%
Image Compression
100%
Lossless Compression
100%
Lossy Compression
100%
Region Constant
100%
Compression Problem
100%
Pixel Location
100%
Rate Distortion Curve
100%
Starting Point
50%
Depth Information
50%
Representation Model
50%
Priori Information
50%
Approximation (Algorithm)
50%
Coding Context
50%
Resolution Image
50%
Low Resolution Image
50%
Local Neighborhood
50%
Template Image
50%
Auxiliary Information
50%
Linear Predictor
50%
Crossing Point
50%
Keyphrases
Depth Map Images
100%
Bitmap Compression
100%
Contour Model
100%
Depth Value
75%
Lossy
62%
Contour Edges
37%
Predictive Coding
25%
Lossless Compression
25%
Lossy Compression
25%
Original Image
25%
Pixel Location
25%
Planar Model
25%
Rate-distortion Curves
25%
Constant Region
25%
Piecewise Constant Model
25%
Context Tree
25%
Contour Segments
25%
Depth Information
12%
Bitstream
12%
Encoding Method
12%
Decoder
12%
Low Contrast
12%
Point Analysis
12%
Progressive Coding
12%
Coding Algorithm
12%
Entropy Coding
12%
Two-region
12%
Context Coding
12%
Mutual Exclusivity
12%
Merging Process
12%
Optimal Slope
12%
Lossless Reconstruction
12%
Contour Points
12%
Very Low Resolution
12%
High-resolution Image
12%
Local Variation
12%
Image Current
12%
Local Neighborhood
12%
Tree Codes
12%
Linear Predictor
12%
Crossing Point
12%
Code Symbols
12%
Depth Variation
12%
Depth Level
12%
Predictive Quantization
12%
Predictive Context
12%
Tree Coding
12%
Model Representation
12%
Auxiliary Information
12%
Line Segments
12%
Vertical Line
12%
Template Image
12%
Nonlinear Predictor
12%
Local Variability
12%
Encoded Image
12%
Chaincode
12%
Horizontal Line
12%
Suitable Region
12%
Engineering
Anchor Point
100%
Lossless Compression
66%
Lossy Compression
66%
Pixel Location
66%
Model Constant
66%
Starting Point
33%
Bitstream
33%
Priori Information
33%
High Resolution
33%
Point Analysis
33%
Line Segment
33%
Resolution Image
33%
Low Resolution Image
33%
Current Image
33%
Crossing Point
33%
Local Neighborhood
33%
Chain Code
33%