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Enhancing H.264/AVC Video Coding Efficiency via Parallel Programming and Fast Prediction Techniques

This project focuses on optimizing the Baseline profile of H.264/AVC video coding by reducing computational complexity and encoding time. Key strategies include the implementation of the Fast Adaptive Termination (FAT) algorithm for Intra prediction, paired with parallel programming techniques using OPEN MD. We evaluate the performance improvements through simulations at varying Quality Parameters (QPs) of 20, 30, and 40, highlighting the effectiveness of merging FAT with predictive algorithms.

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Enhancing H.264/AVC Video Coding Efficiency via Parallel Programming and Fast Prediction Techniques

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  1. Optimizing Baseline Profile in H.264/AVC Video Coding by Parallel Programming and Fast Intra and Inter prediction BY Under the Guidance of VINOOTHNA GAJULA Dr. K. R. RAO ID 1000803103 MS Electrical Engineer

  2. OBJECTIVE • In this project the computational complexity and encoding time of Baseline profile of H.264 are reduced by • Using Fast adaptive termination (FAT) algorithm in Intra prediction [2],[8] Applying Parallel programming using OPEN MD [1] , [7]. FAT inter prediction mode decision and motion estimation Optimized Baseline Profile

  3. STEP 1: • Executing Parallel programming Fast adaptive termination (FAT) algorithm in Intra prediction [2],[8] Applying Parallel programming using OPEN MD [1] , [7]. FAT inter prediction mode decision and motion estimation Optimized Baseline Profile

  4. Parallel programming simulation results at QP=20

  5. Parallel programming simulation results at QP=30

  6. Parallel programming simulation results at QP=40

  7. STEP 2: • FAT Algorithm in Intra prediction. Fast adaptive termination (FAT) algorithm in Intra prediction [2],[8] Applying Parallel programming using OPEN MD [1] , [7]. FAT inter prediction mode decision and motion estimation Optimized Baseline Profile

  8. FAT algorithm in Intra prediction simulation results at QP=20 FAT algorithm in Intra prediction simulation results at QP=30

  9. Parallel programming simulation results at QP=40

  10. STEP 3: • Merging the parallel programming and FAT Algorithm in Intra prediction. Fast adaptive termination (FAT) algorithm in Intra prediction [2],[8] Applying Parallel programming using OPEN MD [1] , [7]. FAT inter prediction mode decision and motion estimation Optimized Baseline Profile

  11. Merged simulation results at QP=20 Merged simulation results at QP=30

  12. Merged simulation results at QP=40

  13. Pending Steps • Simulation of FAT Inter prediction and merging the parallel programming and FAT Algorithm in Intra prediction and FAT algorithm in inter and ME prediction. Fast adaptive termination (FAT) algorithm in Intra prediction [2],[8] Applying Parallel programming using OPEN MD [1] , [7]. FAT inter prediction mode decision and motion estimation Optimized Baseline Profile

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