18349103. EVC DECODING COMPLEXITY METRICS simplified abstract (Samsung Electronics Co., Ltd.)

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EVC DECODING COMPLEXITY METRICS

Organization Name

Samsung Electronics Co., Ltd.

Inventor(s)

Youngkwon Lim of Allen TX (US)

EVC DECODING COMPLEXITY METRICS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18349103 titled 'EVC DECODING COMPLEXITY METRICS

Simplified Explanation

The patent application describes an apparatus that can analyze complexity metrics (CM) metadata in a bitstream to predict the decoding complexity of the bitstream. Here are the bullet points explaining the patent/innovation:

  • The apparatus includes a communication interface and a processor.
  • The processor receives a bitstream with CM metadata via the communication interface.
  • The CM metadata contains information about the complexity of the bitstream.
  • The processor extracts information from the CM metadata, specifically the number of coding units (CUs) with non-zero transform coefficients for each CU size.
  • The processor uses this information to predict the decoding complexity of the bitstream.
  • The prediction helps in optimizing the decoding process and resource allocation.

Potential applications of this technology:

  • Video streaming platforms can use this technology to optimize the decoding process based on the predicted complexity of the bitstream.
  • Video compression algorithms can benefit from the predicted decoding complexity to adjust the compression parameters for better efficiency.
  • Real-time video processing systems can utilize the predicted complexity to allocate computational resources effectively.

Problems solved by this technology:

  • Decoding complexity prediction helps in efficient resource allocation, reducing processing time, and improving overall system performance.
  • By analyzing the CM metadata, potential bottlenecks in the decoding process can be identified and addressed.
  • The technology enables better optimization of video streaming and compression algorithms, leading to improved user experience.

Benefits of this technology:

  • Improved decoding efficiency and reduced processing time.
  • Enhanced resource allocation for video processing systems.
  • Better optimization of video streaming and compression algorithms.
  • Enhanced user experience with smoother video playback and reduced buffering.


Original Abstract Submitted

An apparatus includes a communication interface and a processor operably coupled to the communication interface. The processor is configured to receive, via the communication interface, a bitstream including complexity metrics (CM) metadata. The processor is also configured to extract information in the CM metadata from the bitstream, wherein the information includes a direct indication of a number of coding units (CUs) in the bitstream that have non-zero transform coefficients, for each CU size of a plurality of CU sizes. The processor is further configured to predict a decoding complexity of the bitstream based on information in the CM metadata.

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