Category Archive: News & Updates

MediaCoder 0.7.5.4740 was just released. In this version, there is a new feature which is called automatic resolution adjustment which is useful for retaining aspect ratio without applying cropping or expanding. In addition, the preview picture now has correct aspect ratio. Check out the changelog for more details.

MediaCoder 0.7.5.4740完整版发布，新增分辨率自动调整功能，新增帧率只降不升一级分辨率只缩小不扩大的选项，修正了预览画面的宽高比问题。这次同步更新了MediaCoder iPod/iPhone/iPad版。64位版本稍后更新。

Some H.264 stream in MKV container is already iPhone or iPad playable. In such case, we only need to convert the audio format and remux the video stream with converted audio stream into MP4 container in order to let iPhone or iPad play it. This can save us significant amount of time for transcoding.

现在很多网上下载的MKV文件的视频流已经是可以直接被iPhone或者iPad解码的，在这种情况下要把文件转换为iPhone或者iPad可以播放的MP4文件就没有必要转换视频部分，只要将音频部分转码，然后和原始的视频流混合成iPhone/iPad支持的MP4格式即可。

Since 0.7.5.4710, MediaCoder has added support for video capture device as a transcoding task. In other word, the video from a webcam or other DirectShow capture device can be encoded directly in MediaCoder now. You can see a new “Add Capture Device” when clicking Add button. 在0.7.5.4710版本中, MediaCoder新增了将视频采集设备作为一个任务的功能，换句话说，现在可以简单快捷地将摄像头或者其它DirectShow视频采集设备的画面用MediaCoder直接编码了。点击“添加”按钮即可看到一个新的“添加视频采集设备”的选项。 Read the rest of this entry >>

Finally we can have multiple files processed simultaneously in MediaCoder with the new job-level parallelization support. Those who have a processor with 8 or 16 cores can now unleash the power of their processor. As MediaCoder is not just a simple GUI front-end which only invokes a command line encoder wait sits there waiting for the encoder to complete, instead it distribute frame data and the audio samples from decoders to encoders, the job-level parallelization is not that easy to add from the old design. In order to add this feature, large amount of the code has been rewritten. Finally it works after several weeks’ efforts, though it might still be experimental for a while. The number of the maximum parallelized jobs is limited to 4 at the moment. So feedbacks welcomed!

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