Video Compression (MPEG, H.264) — MCQs | Digital Image Processing

50
Score: 0
Attempted: 0/50
Subscribe
1. Who developed the MPEG video compression standard?



2. Which of the following is a key technique used in MPEG compression?



3. Which of the following frame types are used in MPEG encoding?



4. What is the main purpose of I-frames in MPEG compression?



5. Which frame type in MPEG is bidirectionally predicted?



6. What does H.264 primarily aim to improve over MPEG-2?



7. Which H.264 feature allows variable block size motion estimation?



8. Which entropy coding method is used in H.264 for better compression?



9. What is the role of motion vectors in video compression?



10. Which of the following is true about P-frames?



11. Which standard is more advanced in terms of compression:



12. Which MPEG version introduced support for object-based compression?



13. Which of the following is an application of MPEG-2?



14. Which component removes temporal redundancy in H.264?



15. What is the function of a Group of Pictures (GOP) in MPEG?



16. Which of the following is NOT a tool used in H.264 compression?



17. Which transform is used in H.264?



18. In H.264, what does Intra-frame prediction refer to?



19. Which H.264 feature improves compression by adapting the context of data?



20. What is the main advantage of B-frames in MPEG?



21. Which layer in MPEG handles synchronization and multiplexing?



22. Which H.264 profile is best suited for high-definition broadcasting?



23. What is the purpose of a decoder in video compression?



24. Which term refers to the ratio of data compression to quality loss?



25. In MPEG, what does the term “prediction error” refer to?



26. What type of compression is used in MPEG standards?



27. What kind of video compression does H.264 use?



28. Which of the following is true about MPEG-1?



29. In H.264, what is a macroblock typically sized at?



30. Which of the following is NOT part of the MPEG family?



31. Which of the following is true about H.264 baseline profile?



32. Which feature allows H.264 to compress high-motion videos effectively?



33. Which coding technique does H.264 use to achieve better compression than MPEG-2?



34. In MPEG, which frames are coded without reference to other frames?



35. What is the function of the quantization step in video compression?



36. What does a decoder require to reconstruct B-frames?



37. Which organization standardized H.264?



38. Which of these is a benefit of inter-frame compression?



39. What is the full form of GOP in MPEG?



40. What type of compression does intra-frame use?



41. Which H.264 tool helps eliminate spatial redundancy?



42. What does “bitrate” in video compression refer to?



43. Which of the following supports scalable video coding?



44. Which term describes H.264’s ability to support various devices and networks?



45. Which is the most compressed frame type in MPEG?



46. Which compression standard is widely used in Blu-ray discs?



47. Which frame prediction mode is used in intra-frame coding?



48. Which aspect of video compression helps with faster streaming?



49. Which of the following is a drawback of using B-frames in video compression?



50. What does the term “latency” refer to in video streaming using compressed formats?



More MCQs on Digital image Processing

  1. Introduction to DIP — MCQs | Digital Image Processing

  2. Human Visual System (HVS) — MCQs | Digital Image Processing

  3. Image Acquisition Devices — MCQs | Digital Image Processing

  4. Image Sampling & Quantization — MCQs | Digital Image Processing

  5. Image Resolution & Bit Depth — MCQs | Digital Image Processing

  6. Basic Image Operations (Negative, Log, Power-law) — MCQs | Digital Image Processing

  7. Histogram Equalization & Specification — MCQs | Digital Image Processing

  8. Contrast Stretching — MCQs | Digital Image Processing

  9. Image Arithmetic (Add, Subtract, Multiply, Divide) — MCQs | Digital Image Processing

  10. Bit-plane Slicing — MCQs | Digital Image Processing

  11. Smoothing Filters (Mean, Gaussian, Median) — MCQs | Digital Image Processing

  12. Sharpening Filters (Laplacian, Gradient) — MCQs | Digital Image Processing

  13. High-Boost Filtering — MCQs | Digital Image Processing

  14. Edge Detection (Sobel, Prewitt, Roberts, Canny, LoG) — MCQs | Digital Image Processing

  15. Fourier Transform (DFT, FFT) — MCQs | Digital Image Processing

  16. Frequency Domain Filtering — MCQs | Digital Image Processing

  17. Low-pass & High-pass Filters — MCQs | Digital Image Processing

  18. Homomorphic Filtering — MCQs | Digital Image Processing

  19. Noise Models (Gaussian, Salt & Pepper, Speckle) — MCQs | Digital Image Processing

  20. Adaptive Filtering — MCQs | Digital Image Processing

  21. Inverse & Wiener Filtering — MCQs | Digital Image Processing

  22. Pseudo-color & True-color Processing — MCQs | Digital Image Processing

  23. Color Space Conversion (RGB ↔ HSV, HSI, YCbCr) — MCQs | Digital Image Processing

  24. Color Image Enhancement — MCQs | Digital Image Processing

  25. Image Segmentation (Thresholding, Otsu, K-means, Region Growing) — MCQs | Digital Image Processing

  26. Edge-based Segmentation — MCQs | Digital Image Processing

  27. Region Splitting and Merging — MCQs | Digital Image Processing

  28. Watershed Algorithm — MCQs | Digital Image Processing

  29. Morphological Operations (Erosion, Dilation, Opening, Closing) — MCQs | Digital Image Processing

  30. Boundary Extraction — MCQs | Digital Image Processing

  31. Skeletonization — MCQs | Digital Image Processing

  32. Connected Components Labeling — MCQs | Digital Image Processing

  33. Texture Analysis (GLCM, LBP, Gabor Filters) — MCQs | Digital Image Processing

  34. Shape Descriptors (Perimeter, Area, Compactness, Eccentricity) — MCQs | Digital Image Processing

  35. Statistical Features (Mean, Variance, Skewness) — MCQs | Digital Image Processing

  36. Principal Component Analysis (PCA) — MCQs | Digital Image Processing

  37. Linear Discriminant Analysis (LDA) — MCQs | Digital Image Processing

  38. Feature Matching (SIFT, SURF, ORB) — MCQs | Digital Image Processing

  39. Image Registration — MCQs | Digital Image Processing

  40. Image Stitching — MCQs | Digital Image Processing

  41. Motion Detection & Optical Flow — MCQs | Digital Image Processing

  42. Background Subtraction — MCQs | Digital Image Processing

  43. Object Detection & Tracking — MCQs | Digital Image Processing

  44. Template Matching — MCQs | Digital Image Processing

  45. Pattern Recognition (KNN, SVM, ANN) — MCQs | Digital Image Processing

  46. Image Classification — MCQs | Digital Image Processing

  47. Image Clustering — MCQs | Digital Image Processing

  48. Image Compression (RLE, Huffman, LZW, JPEG, JPEG2000) — MCQs | Digital Image Processing

  49. Video Compression (MPEG, H.264) — MCQs | Digital Image Processing

  50. Image Fusion (Pixel, Feature, Decision Level) — MCQs | Digital Image Processing

  51. Image Watermarking — MCQs | Digital Image Processing

  52. Steganography — MCQs | Digital Image Processing

  53. Face Detection & Recognition — MCQs | Digital Image Processing

  54. Gesture Recognition — MCQs | Digital Image Processing

  55. 3D Image Processing — MCQs | Digital Image Processing

  56. Stereo Vision & Depth Estimation — MCQs | Digital Image Processing

  57. Medical Image Analysis (CT, MRI, Ultrasound) — MCQs | Digital Image Processing

  58. Remote Sensing Image Processing — MCQs | Digital Image Processing

  59. Satellite Image Enhancement — MCQs | Digital Image Processing

  60. Deep Learning for Image Processing (CNN, GANs, Autoencoders) — MCQs | Digital Image Processing

  61. Image Captioning — MCQs | Digital Image Processing

  62. Semantic & Instance Segmentation (Mask R-CNN, U-Net) — MCQs | Digital Image Processing

  63. Super Resolution (SRCNN, ESRGAN) — MCQs | Digital Image Processing

  64. Image Inpainting — MCQs | Digital Image Processing

  65. Image Style Transfer — MCQs | Digital Image Processing

  66. Real-Time Image Processing — MCQs | Digital Image Processing

  67. Augmented Reality (AR) & Virtual Reality (VR) — MCQs | Digital Image Processing

  68. DIP using MATLAB/OpenCV/Python — MCQs | Digital Image Processing

  69. DIP in IoT & Embedded Systems — MCQs | Digital Image Processing

  70. Ethics & Privacy in Image Processing — MCQs | Digital Image Processing

Computer Science Repeated MCQs Book Download

Contents Copyrights Reserved By T4Tutorials