PATENT CLAIM ANALYSIS

Application Number: 15747864
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-01
Patent Classification: ["375", "240120"]

Abstract:
Methods and devices are disclosed for panoramic video coding and decoding based on multi-mode boundary fill. If a predicted image block of a current image block is obtained by inter-frame prediction. The inter-frame prediction includes a boundary fill step of adaptively selecting a boundary fill method according to coordinates of a reference sample when the reference sample of a pixel in the current image block is outside the boundary of a corresponding reference image, to obtain a sample value of the reference sample. The panoramic video encoding and decoding method and device based on multi-mode boundary fill in the present invention make full use of the characteristic that horizontal image contents in a panoramic video are cyclically connected to optimize an image boundary fill method, such that the encoding can adaptively select a more reasonable boundary fill method according to the coordinates of a reference sample, thereby improving compression efficiency.

Claim (Index 9):
A panoramic video decoding method based on multi-mode boundary fill, comprising:\n entropy decoding, inverse quantizing, and inverse transforming an encoded stream to obtain a reconstructed residual block; obtaining a predicted image block of a current image block by inter-frame prediction, wherein the inter-frame prediction comprises a boundary fill step, comprising:\n using a boundary fill method recorded in a sequence header or an image header of the encoded stream to obtain a sample value of the reference sample; and \n adding the predicted image block to the reconstructed residual block to obtain a reconstructed image block.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 86.0
- Lexical Diversity: 2.18056
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15746932', '15524829', '14113708', '14692134', '15777512']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.47665215591734
- 35 USC 102 Novelty (BERT): 0.4761591447906264
- Combined Prediction Score: 0.4766028548046687
- Mean Citation Score: 202.987646
- Max Citation Score: 241.64247000000003
- Similarity Product: 222.07401723221545

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test