The document presents Active Appearance Models, which use principal component analysis to create a statistical model that captures appearance variations in images. It discusses how PCA is used to model shape and texture independently, then combined into a single model. The model can generate synthetic images and interpret new images by iteratively adjusting parameters to minimize differences between the input and generated images. The presenter shows the model can successfully converge and interpret images if initial parameter estimates are reasonable.
This document provides an overview of color theory and color models used in digital images and video. It discusses how the human visual system perceives color and light, and various color spaces such as RGB, YUV, YCbCr. The document also covers color decimation, packing, and conversions between different color formats like 4:4:4, 4:2:2, 4:2:0. Hands-on exercises demonstrate repacking video files between different color models and formats using FFmpeg.
This document discusses color models and chroma subsampling used in video formats. It explains that YUV and YCbCr models separate luminance and chrominance information. Chroma subsampling encodes less color resolution to take advantage of human vision prioritizing luminance over chroma. Common subsampling ratios like 4:2:0, 4:1:1, and 4:2:2 determine the encoded color resolution. Higher ratios like 4:4:4 provide full color resolution ideal for post-production.
The document discusses various methods for mixing audio in Adobe Premiere Elements, including: dragging audio clips underneath video clips; viewing and editing audio waveforms in expert mode; using audio meters to avoid clipping; unlinking audio and video to edit them separately; adjusting volume levels using audio mixers and clip adjustments; and reducing treble to lower high pitches.
Data compression huffman coding algorithamRahul Khanwani
The document discusses Huffman coding, a lossless data compression algorithm that uses variable-length codes to encode symbols based on their frequency of occurrence. It explains that Huffman coding assigns shorter codes to more frequent symbols for efficient data compression. The document provides details on how the Huffman coding algorithm works by constructing a binary tree from the frequency of symbols and assigning codes based on paths in the tree. It also discusses different types of Huffman coding like static, dynamic and adaptive probability distributions and provides examples to illustrate the adaptive Huffman coding process.
The document presents Active Appearance Models, which use principal component analysis to create a statistical model that captures appearance variations in images. It discusses how PCA is used to model shape and texture independently, then combined into a single model. The model can generate synthetic images and interpret new images by iteratively adjusting parameters to minimize differences between the input and generated images. The presenter shows the model can successfully converge and interpret images if initial parameter estimates are reasonable.
This document provides an overview of color theory and color models used in digital images and video. It discusses how the human visual system perceives color and light, and various color spaces such as RGB, YUV, YCbCr. The document also covers color decimation, packing, and conversions between different color formats like 4:4:4, 4:2:2, 4:2:0. Hands-on exercises demonstrate repacking video files between different color models and formats using FFmpeg.
This document discusses color models and chroma subsampling used in video formats. It explains that YUV and YCbCr models separate luminance and chrominance information. Chroma subsampling encodes less color resolution to take advantage of human vision prioritizing luminance over chroma. Common subsampling ratios like 4:2:0, 4:1:1, and 4:2:2 determine the encoded color resolution. Higher ratios like 4:4:4 provide full color resolution ideal for post-production.
The document discusses various methods for mixing audio in Adobe Premiere Elements, including: dragging audio clips underneath video clips; viewing and editing audio waveforms in expert mode; using audio meters to avoid clipping; unlinking audio and video to edit them separately; adjusting volume levels using audio mixers and clip adjustments; and reducing treble to lower high pitches.
Data compression huffman coding algorithamRahul Khanwani
The document discusses Huffman coding, a lossless data compression algorithm that uses variable-length codes to encode symbols based on their frequency of occurrence. It explains that Huffman coding assigns shorter codes to more frequent symbols for efficient data compression. The document provides details on how the Huffman coding algorithm works by constructing a binary tree from the frequency of symbols and assigning codes based on paths in the tree. It also discusses different types of Huffman coding like static, dynamic and adaptive probability distributions and provides examples to illustrate the adaptive Huffman coding process.