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 29):
An apparatus for of encoding video data, the apparatus comprising:\n means for determining a current frame of video data is an anchor frame;\n means for determining, when the current frame is determined to be the anchor frame, an anchor frame bit allocation and a first quantization parameter (QP) using coding statistics from a previous frame; \n means for encoding the current frame based on the determined first QP; \n means for collecting coding statistics from the current frame; \n means for determining a next frame of video data is a non-anchor frame; \n means for determining, when the next frame is determined to be the non-anchor frame, a non-anchor frame bit allocation and a second QP using coding statistics from the current frame; \n means for encoding the current frame based on the determined second QP; and \n means for collecting 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: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['13091414', '12206542', '12093788', '13674287', '10586123']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4945037394747641
- 35 USC 102 Novelty (BERT): 0.4938451237273714
- Combined Prediction Score: 0.4944378779000248
- Mean Citation Score: 239.96972
- Max Citation Score: 245.05957
- Similarity Product: 183.31432193808675

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