PATENT CLAIM ANALYSIS

Application Number: 16148764
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-01
Patent Classification: ["375", "240030"]

Abstract:
A method for encoding a multi-view frame in a video encoder is provided that includes computing a depth quality sensitivity measure for a multi-view coding block in the multi-view frame, computing a depth-based perceptual quantization scale for a 2D coding block of the multi-view coding block, wherein the depth-based perceptual quantization scale is based on the depth quality sensitive measure and a base quantization scale for the 2D frame including the 2D coding block, and encoding the 2D coding block using the depth-based perceptual quantization scale.

Claim (Index 1):
A method for encoding a multi-view frame in a video encoder, wherein the multi-view frame comprises a plurality of two-dimensional (2D) frames, the method comprising:\n computing a depth quality sensitivity measure for a multi-view coding block in the multi-view frame; computing a depth-based perceptual quantization scale for a 2D coding block of the multi-view coding block, wherein the depth-based perceptual quantization scale is based on the depth quality sensitive measure and a base quantization scale for the 2D frame including the 2D coding block; and encoding the 2D coding block using the depth-based perceptual quantization scale.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 2.36842
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13631841', '15356142', '14845067', '10672195', '13546695']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4797708120553545
- 35 USC 102 Novelty (BERT): 0.5470487797004485
- Combined Prediction Score: 0.4864986088198639
- Mean Citation Score: 249.722542
- Max Citation Score: 402.40286
- Similarity Product: 383.8100101120187

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