PATENT CLAIM ANALYSIS

Application Number: 15966792
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["375", "240160"]

Abstract:
Several methods and systems for encoding pictures are disclosed. In an embodiment, a method comprises dividing an LCU of a picture into a plurality of MERs having size equal to or less than a predetermined size. For one or more MERs of the plurality of MERs, a number of first motion searches are performed for determining a first quad-tree based on a cost function associated with a first plurality of PUs of the one or more MERs. A number of second motion searches are performed for the LCU, for determining a second quad-tree, based on the cost function associated with a second plurality of PUs of the LCU. The first quad-tree or the second quad-tree is selected for performing encoding of the picture based on a comparison of a first cost of the first quad-tree with a second cost of the second quad-tree.

Claim (Index 8):
The method of  claim 6 , wherein the one or more merge MV candidates comprises candidates of a modified merge candidate MV list, the modified merge candidate MV list being constructed by rounding-off the one or more merge candidates associated with fractional-pel search positions in the merge candidate MV list to corresponding nearest integer-pel search positions for performing the third motion search.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 91.0
- Lexical Diversity: 2.66667
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15401807', '13762953', '15754721', '13836174', '14137510']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5008678499106327
- 35 USC 102 Novelty (BERT): 0.6317718003028605
- Combined Prediction Score: 0.5139582449498554
- Mean Citation Score: 373.56454
- Max Citation Score: 565.2113
- Similarity Product: 551.8392068438709

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

Dataset: test