GTU BE 2019 Summer Question Papers || Gujarat Technological University
Subject Code: 2181607
GUJARAT TECHNOLOGICAL UNIVERSITY
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BE - SEMESTER-VII(NEW) EXAMINATION - SUMMER 2019
Subject Name: Multimedia And Animation
Time: 10:30 AM TO 01:00 PM
Date: 17/05/2019
Total Marks: 70
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Instructions:
- Attempt all questions.
- Make suitable assumptions wherever necessary.
- Figures to the right indicate full marks.
| Q.1 | (a) Compare and Contrast Lossy and Lossless compression technique. | 03 |
| (b) Compare Entropy and Self Information of a source with appropriate examples. | 04 | |
| (c) Explain MPEG 4 and H.264 standard in detail. | 07 | |
| OR | ||
| (a) Discuss elements of multimedia communication system. | 03 | |
| (b) Why DCT transformation is used in JPEG compression? Explain. | 04 | |
| (c) Construct an LZW dictionary and decode the following transmitted sequence: 5233216810129117165441121234. Consider the initial dictionary with symbol {$, i, w, o, b}. | 07 | |
| Q.2 | (a) Define following terms: --- Content provided by FirstRanker.com --- (i) Compression ratio(ii) SNR (iii) PSNR | 03 |
| (b) Determine whether the following codes are uniquely decodable. (i) {000, 001, 11, 10,01} (ii) {0101, 110, 001,11, 00} | 04 | |
| (c) Encode ‘college’ using Dynamic Huffman coding depicting Huffman tree after encoding each symbol in the source. | 07 | |
| OR | ||
| (a) Why DC and AC coefficient are encoded separately in JPEG? | 03 | |
| (b) Given an alphabet A= {al,a2,a3,a4), find the first order entropy in the following cases: --- Content provided by FirstRanker.com --- (i) P(al)=P(a2)=P(a3)=P(a4)=0.25(ii) P(al)=0.5,P(a2)=0.25, P(a3)=P(a4)=0.125 | 04 | |
| (c) Give the algorithm for decoding procedure of both Huffman Coding and Arithmetic Coding procedures, with suitable examples. Outline the differences in both. | 07 | |
| Q.3 | (a) Explain the concept of entropy coding for text compression. | 03 |
| (b) Is Huffman code optimum prefix code? Prove your answer. | 04 | |
| (c) Encode the following questions, assuming that the data is to be encoded using arithmetic coding with integer implementation: | 07 | |
| Letter | Count | |
| A | 40 | |
| B | 1 | |
| C | 9 | |
| (i) What is the word length required for unambiguous encoding? (ii) Find the binary code for the sequence “ACB” using the rescaling conditions, wherever necessary). | ||
| OR | ||
| (a) Given an initial dictionary consisting of the letters {@,a,b,0,w}, encode the following message using the LZW algorithm: wabba@wabba@wabba@wabba@woo@woo@woo | 07 | |
| Q.4 | (a) Explain the concept of source coding for text compression. | 03 |
| (b) Explain Key frame animation in brief. | 04 | |
| (c) Find the real valued tag for the sequence 1 3 2 1 using the following probability model: P(1)=0.8,P(2)=0.02, P(3)=0.18 | 07 | |
| OR | ||
| (a) Explain MPEG encoder for Audio Compression | 03 | |
| (b) Describe the process of Morphing in brief. | 04 | |
| (c) Explain ADPCM encoder and decoder for Audio compression. | 07 | |
| Q.5 | (a) Explain MPEG decoder for Audio Compression. | 03 |
| (b) Briefly discuss the process of 3D Modeling. | 04 | |
| (c) Explain the process of prediction in DPCM. | 07 | |
| OR | ||
| (a) Explain MPEG encoder for Audio Compression | 03 | |
| (b) Describe the process of Morphing in brief. | 04 | |
| (c) Explain ADPCM encoder and decoder for Audio compression. | 07 |
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