PATENT CLAIM ANALYSIS

Application Number: 15977590
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["375", "240030"]

Abstract:
This disclosure describes techniques for achieve high coding efficiency by periodically encoding anchor frames with a lower Quantization Parameter (QP) to provide better prediction for the following frames. Techniques include adaptively deciding which frames are encoded with lower QP by use of the collected encoding statistics via an encoding scheme with or without rate control.

Claim (Index 30):
A non-transitory computer-readable storage medium encoded with instructions that, when executed, cause one or more processors of a video encoding device to:\n determine a current frame of video data is an anchor frame; when the current frame is determined to be the anchor frame, determine an anchor frame bit allocation and a first quantization parameter (QP) using coding statistics from a previous frame; encode the current frame based on the determined first QP; collect coding statistics from the current frame; determine a next frame of video data is a non-anchor frame; when the next frame is determined to be the non-anchor frame, determine a non-anchor frame bit allocation and a second QP using coding statistics from the current frame; encode the current frame based on the determined second QP; and collect coding statistics from the next frame.

Metadata:
- Claim Count in Document: 10.0
- Percentile: 93.0
- Lexical Diversity: 1.25532
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13091414', '12206542', '12093788', '13674287', '10586123']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5233969264750905
- 35 USC 102 Novelty (BERT): 0.4997460583621606
- Combined Prediction Score: 0.5210318396637975
- Mean Citation Score: 239.96972
- Max Citation Score: 245.05957
- Similarity Product: 174.35408251198768

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test