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Description: 使用CUDA进行H264编码的经典文章：H.264 ME implementation on CUDA，值得推荐学习。-H264 encoded using CUDA for classic article: H.264 ME implementation on CUDA, worth recommending to learn.
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Size: 250880 |
Author: wyg |
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Description: 最新的帧间预测文章Accelerating H.264 Inter Prediction in a GPU by using CUDA
希望对做这方面的同学有所帮助-The latest inter prediction article Accelerating H.264 Inter Prediction in a GPU by using CUDA do want to help the students in this area
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Size: 209920 |
Author: zhou da |
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Description: H.264编解码的CUDA实现，并行加速算法，内部实现了H.264视频编解码的CUDA实现，能够编译通过，已经过测试，并且还添加了注释信息。-CUDA H.264 codec implementation, parallel acceleration algorithms, the internal implementation of the H.264 video codec CUDA realization, to compile, has been tested, and also adds annotation information.
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Size: 2614272 |
Author: 佘云峰 |
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Description: 此示例演示如何有效地使用CUDA视频编码器API编码H.264视频。视频输入在YUV格式作为输入(系统CPU或GPU内存)和视频输出帧编码H.264文件-This sample demonstrates how to effectively use the CUDA Video Encoder API encode H.264 video. Video input in YUV formats are taken as input (either CPU system or GPU memory) and video output frames are encoded to an H.264 file
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Size: 13431808 |
Author: 张帆 |
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Description: This project seeks to implement H.264 (the standard x264 is based on) to run on CUDA. Specifically we attempt to write the motion estimation module in CUDA.
Motion estimation is currently the most computationally intensive portion of the H.264 encoding process. Previous attempts to parallelize this algorithm in CUDA showed sizeable speedups but sacrificed quality by ignoring the motion vector prediction (MVp). We demonstrate the viability of a hierarchical (pyramid) motion estimation algorithm in CUDA. This solution addresses the MVp problem while still taking advantage of the CUDA framework.-This project seeks to implement H.264 (the standard x264 is based on) to run on CUDA. Specifically we attempt to write the motion estimation module in CUDA.
Motion estimation is currently the most computationally intensive portion of the H.264 encoding process. Previous attempts to parallelize this algorithm in CUDA showed sizeable speedups but sacrificed quality by ignoring the motion vector prediction (MVp). We demonstrate the viability of a hierarchical (pyramid) motion estimation algorithm in CUDA. This solution addresses the MVp problem while still taking advantage of the CUDA framework.
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Size: 467968 |
Author: softweb |
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