PATENT CLAIM ANALYSIS

Application Number: 15919008
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["375", "240120"]

Abstract:
Methods of adaptive transform type based on transform unit (TU) size for enhancement layer (EL) coding and multiple motion candidates for EL coding based on corresponding base layer (BL) video data are provided. One method selects a transform type from multiple allowable transform types based on the TU size and applies the selected transform type to the transform units of the inter-layer prediction processed data. Another method derives multiple motion candidates for the EL video data coded in Merge mode or Inter mode based on motion information associated with the corresponding BL video data.

Claim (Index 1):
A method of inter-layer prediction for scalable video coding, wherein video data is configured into a Base Layer (BL) and an Enhancement Layer (EL) and wherein EL video data has higher spatial resolution or better video quality than BL video data, the method comprising:\n receiving input data associated with a current EL block of the EL video data; determining a corresponding BL block in the BL; deriving two or more inter-layer candidates based on BL motion information associated with corresponding BL video data, wherein said two or more inter-layer candidates are added to Merge candidate list or AMVP (advanced motion vector prediction) candidate list; deriving a final motion vector predictor from the Merge candidate list or the AMVP candidate list; and applying encoding or decoding to the input data associated with the current EL block using the final motion vector predictor, wherein the current EL block is coded in Merge mode or Inter mode based on AMVP.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 90.0
- Lexical Diversity: 1.87273
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14442925', '14378965', '14005555', '14422051', '15795582']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5667466160800773
- 35 USC 102 Novelty (BERT): 0.5529800614262327
- Combined Prediction Score: 0.5653699606146928
- Mean Citation Score: 371.017786
- Max Citation Score: 416.8614
- Similarity Product: 379.92095362000464

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

Dataset: test