18534320. Magnitude Coding for Selected Subset of Prediction Candidates simplified abstract (Comcast Cable Communications, LLC)

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Magnitude Coding for Selected Subset of Prediction Candidates

Organization Name

Comcast Cable Communications, LLC

Inventor(s)

Alexey Konstantinovich Filippov of Khimki (RU)

Vasily Alexeevich Rufitskiy of Vladimir (RU)

Esmael Hejazi Dinan of McLean VA (US)

Magnitude Coding for Selected Subset of Prediction Candidates - A simplified explanation of the abstract

This abstract first appeared for US patent application 18534320 titled 'Magnitude Coding for Selected Subset of Prediction Candidates

Simplified Explanation:

The patent application discusses the compression and decompression of videos using predictive encoding or decoding, specifically focusing on entropy coding or decoding magnitude symbols of a block vector difference (BVD) based on multiple BVD candidates. A subset of representative BVD candidates is selected to reduce computation complexity, with the selection criteria based on motion vector differences (MVD).

  • Predictive encoding or decoding of videos
  • Entropy coding or decoding of magnitude symbols of a block vector difference (BVD)
  • Selection of representative BVD candidates to reduce computation complexity
  • Criteria based on motion vector differences (MVD)

Potential Applications:

This technology could be applied in video compression and decompression algorithms, video streaming services, video editing software, and multimedia communication systems.

Problems Solved:

This technology addresses the challenges of efficiently compressing and decompressing videos while reducing computation complexity and maintaining video quality.

Benefits:

The benefits of this technology include improved video compression efficiency, reduced computational resources required for encoding and decoding, and enhanced video quality during transmission and playback.

Commercial Applications:

The technology could be utilized in video streaming platforms, video editing software, surveillance systems, and multimedia communication devices, potentially leading to faster video processing, reduced bandwidth usage, and improved user experience.

Questions about Video Compression Technology: 1. How does predictive encoding improve video compression efficiency? 2. What are the key factors considered when selecting representative BVD candidates for compression algorithms?


Original Abstract Submitted

A video may be compressed or decompressed using predictive encoding or decoding. The predictive encoding or decoding may involve entropy coding or decoding magnitude symbols of a block vector difference (BVD), for example, based on a plurality of BVD candidates. A subset of representative BVD candidates may be selected from the plurality of BVD candidates to reduce computation complexity (e.g., cost calculation). The subset of representative BVD candidates may be selected based on one or more subset selection criteria. The BVD may comprise a motion vector difference (MVD).