PATENT CLAIM ANALYSIS

Application Number: 16012446
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["375", "240020"]

Abstract:
Embodiments of the present invention provide methods and apparatuses for coding and decoding a depth map. The coding method includes: obtaining prediction data corresponding to a current image block of the depth map, obtaining a predicted pixel value from the prediction data according to a preset step, and calculating a first average value of the prediction data according to the predicted pixel value, where the preset step is a positive integer except 1; obtaining a residual of the current image block according to the first average value of the prediction data and a pixel value of a pixel of the current image block; and coding the residual of the current image block. In this way, coding and decoding efficiency can be improved.

Claim (Index 6):
The method according to  claim 1 , wherein before obtaining the predicted pixel value from the prediction data according to the preset process, the method further comprises:\n determining, according to an intra-frame prediction mode of the current image block, whether the intra-frame prediction mode belongs to a preset intra-frame prediction mode set; and if it is determined that the intra-frame prediction mode belongs to the preset intra-frame prediction mode set, determining the predicted pixel value from the prediction data according to the preset step.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 94.0
- Lexical Diversity: 2.44444
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14795746', '14795677', '14880094', '15389196', '15694440']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5501505743085223
- 35 USC 102 Novelty (BERT): 0.5482261993793668
- Combined Prediction Score: 0.5499581368156068
- Mean Citation Score: 327.386022
- Max Citation Score: 408.52747
- Similarity Product: 345.00322811764715

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