The LEAD H264 Encoder is a DirectShow filter for compressing and decompressing video data using the H.264/AVC standard. The H.264 standard was developed jointly by ITU and MPEG. The H.264/AVC standard provides an efficient algorithm for compressing video. It typically outperforms other standards by a factor of three to four, especially in comparison to MPEG-2.
H264 is a high quality video compression algorithm suited for all types of applications with different ranges of bit rates. The compressed video data can be stored in AVI, OGG, and ISO Base containers with the option of saving the file with or without the audio data.
The encoder can use Intel Quick Sync Video hardware acceleration for compression.
The encoder can use NVIDIA CUDA hardware acceleration on computers with NVIDIA graphics cards with CUDA capabilities. You do not need to install anything in addition to the video driver; hardware acceleration will be used automatically, if possible. For more information about the supported CUDA technology, refer to Using H264 and H265 Encoders on NVIDIA GPUs. For more information on which NVIDIA hardware supports H264, refer to CUDA Hardware Support.
The H264 standard has a maximum video size. H264 video should follow this formula:
((Width + 15) / 16) * ((Height + 15) / 16) <= 36864
Some maximum video sizes: 3840x2448, 2448x2840, 4096x2304, etc.
NOTE: If you are using the encoder with a third-party software package, refer to your software's documentation for information on how to access the encoder's property page(s). If you do not have an application for converting multimedia files, you can download M2Convert Pro from M2 Solutions, Inc.
The compression options for the encoder can be set manually through the encoder's property page or programmatically using the filter interface.
|Input Media Types||Type:
|Output Media Types||Type:
|Property Page(s) CLSID||CLSID_LMH264EncoderProperty|
|Executable||LENCH2644.dll, DSKernel2.dll, libmfxsw32.dll (32-bit) or libmfxsw64.dll (64-bit)|
This filter is included as a part of the following modules: