Multimedia Data Compression Lecture 4 Quiz
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Questions and Answers

What is the purpose of compression in multimedia applications?

  • To slow down the process of coding
  • To reduce the total number of bits needed to represent certain information (correct)
  • To consume more storage and bandwidth
  • To increase the number of bits needed to represent certain information

    • Which video characteristic affects the size of raw video data?

  • Resolution
  • Color depth
  • Frame rate
  • All of the above (correct)

    • What type of compression scheme induces information loss?

  • Lossy compression scheme (correct)
  • General data compression scheme
  • Lossless compression scheme
  • Entropy-based compression scheme

    • What is the formula for compression ratio (B0 compression ratio = B1/B0)?

    <p>$B0 = B1/B0$</p> Signup and view all the answers

    How is self-information of an event A defined in terms of its probability P(A)?

    <p>$-log_bP(A)$</p> Signup and view all the answers

    In the example provided, what is the information received when receiving a 0?

    <p>$log_2(1/0)$</p> Signup and view all the answers

    What is the entropy of the source that outputs symbols 0 or 1 with probabilities P(0) = 0.25 and P(1) = 0.75?

    <p>0.8113 bits</p> Signup and view all the answers

    In the context of information theory, what does the entropy η of an information source with alphabet S = {s1, s2, ..., sn} represent?

    <p>The number of bits needed to encode each symbol si</p> Signup and view all the answers

    What is the first-order estimate of the entropy (bits/pixel) for the given 8-bit image?

    <p>1.81 bits</p> Signup and view all the answers

    In Run-Length Coding, what type of information source does RLC exploit?

    <p>Source with dependent symbols</p> Signup and view all the answers

    What is the new code for the sequence '2b 8w 2b 4b 8w' in Binary Image Compression?

    <p>'0282048'</p> Signup and view all the answers

    What algorithm follows a top-down approach and sorts the symbols according to their frequency count?

    <p>Shannon-Fano Algorithm</p> Signup and view all the answers

    What does -log2P(sa,sb) represent in the context of information theory?

    <p>-log2P(sa)P(sb)</p> Signup and view all the answers

    What property states that 'the letter with smaller probability has high self-information'?

    <p>Shannon-Fano property</p> Signup and view all the answers

    What does the formula n   H ( S )   pi log 2 pi i 1 represent in information theory?

    <p>'Entropy' representation for symbol probabilities</p> Signup and view all the answers

    What does the term 'memoryless source' mean in the context of information theory?

    <p>'Memoryless source' refers to a source with independently distributed symbols</p> Signup and view all the answers

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