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 12):
The panoramic video decoding device of  claim 11 , wherein the boundary fill unit is configured to adopt the recorded boundary fill method for the image of all sequences in the encoded stream when the boundary fill method is recorded in the sequence header of the encoded stream,\n wherein the boundary fill unit is configured to adopt the recorded boundary fill method for the image corresponding to the image header when the boundary fill method is recorded in the image header of the encoded stream.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 86.0
- Lexical Diversity: 2.18056
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15746932', '15524829', '14113708', '14692134', '15777512']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5032883650254352
- 35 USC 102 Novelty (BERT): 0.4919251990903114
- Combined Prediction Score: 0.5021520484319228
- Mean Citation Score: 202.987646
- Max Citation Score: 241.64247000000003
- Similarity Product: 189.87564826807383

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