TESTBED DEVELOPMENT OF INTEGRATED VIDEO CODEC BASED ON CNN AND CONVENTIONAL: DVC ENCODER, DPCM DECODER, AND H.264
Video data nowadays are used a lot in every sector, not only for saving memories, but tend to be as important as sharing information, communication tools, and another kind of important activites. During pandemic era, people discussed and gathered using digital platform with facility such as realt...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/64584 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Video data nowadays are used a lot in every sector, not only for saving memories,
but tend to be as important as sharing information, communication tools, and
another kind of important activites. During pandemic era, people discussed and
gathered using digital platform with facility such as realtime communicaiton using
video and audio. As the increasing amount of transmitted video data, all the
supporting systems and infrastructures also have to be improved, more reliable,
and effective enough for transmitting data. Data transmission often use
compression mechanism to decrease bandwidth needed in one transmission. One
of compression types is lossy, the one that will reduce a little of video size and
quality when it is arrived at the receiver due to quantization phase. This system is
frequently called as video codecs that is generally divided into encoder for video
compression and decoder for generating approximattely the same video for
playback. Some of conventional compression frameworks today are H.264, VP8,
and RV40.
Video codecs framework improvement can be done by utilizing AI for
representation of non-linear value ability based on motion-compensatation parts
and residual transform. Deep Video Coding (DVC) framework utilize motion
information from optical flow mechanism. DVC has adaptive quantization feature
that can be different to each processed video information to reduce bit rate variable
parameter. Development process does not consider time consumption variable,
instead considering on ratio compression parameter optimal quality. System can
be accessed with simple Graphical User Interface that takes input of video, then
dividing it into couple of frames that will be inferred one by one and final result of
compressed video with quality and ratio information. |
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