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Research Paper | Science and Technology | India | Volume 13 Issue 3, March 2024
New Methodology of Scaling for Predefined Metrics based on Feature Extraction Using Fundamental Concept of Convolutional Neural Networks
Abstract: In the field of Video Processing, cause of I frame effect is mainly happened within static region of frame due to coarse quantization during frame-by-frame prediction which is most annoying when intra coding is deployed instead of periodically inserted intra frames and skipping of I frame effect was possible only because of default rate distortion optimization in JM reference coder which is based on H.264 standards during encoding process as mentioned in [1], [2]. Moreover, we encountered I frame effect effect during encoding processing because of above reason not because of multiple frames. In our case, we considered principles of Convolutional Neural Network within machine learning fundamentals for Feature Extraction and Classification i. e, it is based on User Experience and also deployed technique manually in the field of Information theory to skip I frame effect, i. e, as author stated in [4], [5].
Keywords: I frame effect, Multiple Frames, Computer Vision, Feature Extraction, Data Compression, User Experience
Edition: Volume 13 Issue 3, March 2024,
Pages: 363 - 365