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 7):
The panoramic video encoding device of  claim 6 , wherein the boundary fill unit is configured to use a cyclic fill method for the horizontal image boundary fill method when the vertical ordinate of the reference sample is between the upper boundary and the lower boundary of the reference image and the horizontal ordinate of the reference sample is outside the left boundary and the right boundary of the reference image,\n wherein the boundary fill unit is configured to use a cyclic fill method for the vertical image boundary fill method when the vertical ordinate of the reference sample is outside the upper boundary and the lower boundary of the reference image.

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): 0.5000360611581066
- 35 USC 102 Novelty (BERT): 0.5062222600162678
- Combined Prediction Score: 0.5006546810439227
- Mean Citation Score: 202.987646
- Max Citation Score: 241.64247000000003
- Similarity Product: 155.73719337376355

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

Dataset: test