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 8):
The apparatus of  claim 1 , wherein a motion vector of the temporal merge candidate is a motion vector of a temporal merge candidate block within a temporal merge candidate picture, and a position of the temporal merge candidate block is determined depending on a position of the current block within an LCU.

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): 0.5782305928385248
- 35 USC 102 Novelty (BERT): 0.5969536118713694
- Combined Prediction Score: 0.5801028947418093
- Mean Citation Score: 482.004122
- Max Citation Score: 492.49283
- Similarity Product: 485.3966448082172

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