PATENT CLAIM ANALYSIS

Application Number: 15879125
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["375", "240160"]

Abstract:
An image encoding apparatus can include an inter prediction module for determining motion information of a current block, and generating a prediction block of the current block using the motion information; a transform module for transforming the residual block to generate a transformed block; a quantization module for quantizing the transformed block using a quantization parameter and a quantization matrix to generate a quantized block; a scanning module for scanning coefficient components of the quantized block using a diagonal scan; and an entropy coding module for entropy-coding the scanned coefficient components of the quantized block; in which the motion information is encoded by performing the sub-steps of: constructing a merge list using available spatial and temporal merge candidates; selecting a merge predictor among merge candidates of the merge list; and encoding a merge index specifying the merge predictor, in which if the current block is a second prediction unit partitioned by asymmetric partitioning, the spatial merge candidate corresponding to a first prediction unit partitioned by the asymmetric partitioning is set as unavailable.

Claim (Index 10):
The apparatus of  claim 1 , wherein if only one of the left quantization parameter and the above quantization parameter is available, an average of the available quantization parameter and the previous quantization parameter is set as the quantization parameter predictor.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 86.0
- Lexical Diversity: 2.38961
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14539976', '14539969', '15132926', '14350015', '15050259']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5816226799616638
- 35 USC 102 Novelty (BERT): 0.5891283504851849
- Combined Prediction Score: 0.5823732470140159
- Mean Citation Score: 482.004122
- Max Citation Score: 492.49283
- Similarity Product: 442.7812842746979

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

Dataset: test