16 Questions
What is the purpose of compression in multimedia applications?
To reduce the total number of bits needed to represent certain information
Which video characteristic affects the size of raw video data?
All of the above
What type of compression scheme induces information loss?
Lossy compression scheme
What is the formula for compression ratio (B0 compression ratio = B1/B0)?
$B0 = B1/B0$
How is self-information of an event A defined in terms of its probability P(A)?
$-log_bP(A)$
In the example provided, what is the information received when receiving a 0?
$log_2(1/0)$
What is the entropy of the source that outputs symbols 0 or 1 with probabilities P(0) = 0.25 and P(1) = 0.75?
0.8113 bits
In the context of information theory, what does the entropy η of an information source with alphabet S = {s1, s2, ..., sn} represent?
The number of bits needed to encode each symbol si
What is the first-order estimate of the entropy (bits/pixel) for the given 8-bit image?
1.81 bits
In Run-Length Coding, what type of information source does RLC exploit?
Source with dependent symbols
What is the new code for the sequence '2b 8w 2b 4b 8w' in Binary Image Compression?
'0282048'
What algorithm follows a top-down approach and sorts the symbols according to their frequency count?
Shannon-Fano Algorithm
What does -log2P(sa,sb) represent in the context of information theory?
-log2P(sa)P(sb)
What property states that 'the letter with smaller probability has high self-information'?
Shannon-Fano property
What does the formula n H ( S ) pi log 2 pi i 1 represent in information theory?
'Entropy' representation for symbol probabilities
What does the term 'memoryless source' mean in the context of information theory?
'Memoryless source' refers to a source with independently distributed symbols
Test your knowledge on multimedia data compression with this quiz. Topics include key enabling techniques, raw media storage and bandwidth requirements, and the process of coding for compression. Get ready to challenge yourself!
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