Podcast
Questions and Answers
What is the reason for decimating the Cr and Cb components by two?
What is the reason for decimating the Cr and Cb components by two?
- To increase the bandwidth for better color representation
- To reduce the number of samples based on human perception (correct)
- To match the bandwidth of Y component
- To enhance sensitivity to human eye
What is the purpose of converting RGB color space to Y, Cr & Cb color space?
What is the purpose of converting RGB color space to Y, Cr & Cb color space?
- To increase the bandwidth for better color representation
- To enhance sensitivity to human eye
- To decrease the amount of video sample data based on human perception (correct)
- To match the bandwidth of Y component
What is the characteristic of Y component in the Y, Cr & Cb color space?
What is the characteristic of Y component in the Y, Cr & Cb color space?
- It is less sensitive to human eye
- It has full bandwidth as it is very sensitive to human perception (correct)
- It has reduced bandwidth for efficient storage
- It is decimated by two vertically and horizontally
What does DCT stand for in the context of intra-frame compression?
What does DCT stand for in the context of intra-frame compression?
What type of redundancy does intra-frame compression (spatial redundancy) aim to exploit?
What type of redundancy does intra-frame compression (spatial redundancy) aim to exploit?
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Study Notes
Introduction to Video Compression
- Raw video data requires compression due to limited and expensive communication and storage capabilities.
- Example of HDTV video signal: 1280X720 pixels/frame, progressive scanning at 60 frames/s, requiring 20 Mb/s bandwidth.
- Compression ratio of 70:1 is required for HDTV channel bandwidth.
Types of Redundancy in Video Compression
- Spectral Redundancy: exists in the frequency domain.
- Spatial Redundancy (Intra-frame compression): exists within a single frame.
- Temporal Redundancy (Inter-frame compression): exists between frames.
- Entropy Redundancy: can be reduced using lossless compression techniques.
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