PATENT CLAIM ANALYSIS

Application Number: 16143024
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["375", "240120"]

Abstract:
The present disclosure provides a method for encoding an intra-frame prediction mode, including: obtaining an intra-frame prediction mode of a current intra-frame encoding block from a preset prediction mode set; obtaining reference prediction modes of the current intra-frame encoding block, where the reference prediction modes are intra-frame prediction modes of available adjacent blocks of the current intra-frame encoding block or prediction modes in a preset backup reference mode set; writing a first flag bit into a code stream according to the reference prediction modes and the intra-frame prediction mode; and, when the intra-frame prediction mode of the encoding block is different from all the reference prediction modes, obtaining a prediction mode encoding value according to a size relationship between the value of the intra-frame prediction mode and values of the reference prediction modes, and encoding the prediction mode encoding value.

Claim (Index 4):
The encoding method according to  claim 3 , wherein the obtaining a first reference prediction mode and a second reference prediction mode according to intra-frame prediction modes of available adjacent blocks of the current intra-frame encoding block comprises:\n if both an upper block and a left block of the current intra-frame encoding block are available adjacent blocks, and intra-frame prediction modes of the upper block and the left block of the current intra-frame encoding block are different, using the intra-frame prediction modes of the upper block and the left block as the first reference prediction mode and the second reference prediction mode of the current intra-frame encoding block; or if both an upper block and a left block of the current intra-frame encoding block are available adjacent blocks, and intra-frame prediction modes of the upper block and the left block of the current intra-frame encoding block are the same, using an intra-frame prediction mode of the upper block or the left block of the current intra-frame encoding block as the first reference prediction mode, and selecting a prediction mode from prediction modes in the preset backup reference mode set as the second reference prediction mode; or if an upper block of the current intra-frame encoding block is an available adjacent block, while a left block is an unavailable adjacent block, using a prediction mode of the upper block of the current intra-frame encoding block as the first reference prediction mode, and selecting a prediction mode from the preset backup reference mode set as the second reference prediction mode; or if an upper block of the current intra-frame encoding block is an unavailable adjacent block, while a left block is an available adjacent block, using a prediction mode of the left block of the current intra-frame encoding block as the first reference prediction mode, and selecting a prediction mode from the preset backup reference mode set as the second reference prediction mode; or if both an upper block and a left block of the current intra-frame encoding block are unavailable adjacent blocks, selecting two prediction modes from the preset backup reference mode set as the first reference prediction mode and the second reference prediction mode.

Metadata:
- Claim Count in Document: 12.0
- Percentile: 97.0
- Lexical Diversity: 2.77778
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15616677', '14142437', '12405330', '12808992', '15958452']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5526589247949617
- 35 USC 102 Novelty (BERT): 0.5669074351709132
- Combined Prediction Score: 0.5540837758325569
- Mean Citation Score: 345.001142
- Max Citation Score: 438.35464
- Similarity Product: 436.2317683539917

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