PATENT CLAIM ANALYSIS

Application Number: 16046623
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["375", "240160"]

Abstract:
An apparatus of encoding an image in an advanced motion vector prediction (AMVP) mode 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 quantized coefficient components of the quantized block; and an entropy coding module for entropy-coding the scanned quantized coefficient components of the quantized block; in which the motion information is encoded by performing the sub-steps of: constructing an AMVP list using available motion vector candidates of a left motion vector candidate, an above motion vector candidate and a temporal motion vector candidate; selecting a motion vector predictor among motion vector candidates of the AMVP candidate list; generating a differential motion vector by subtracting the motion vector predictor from the motion vector; and encoding a reference picture index, the differential motion vector and an AMVP index specifying the motion vector predictor.

Claim (Index 6):
The apparatus of  claim 3 , wherein when reference pictures of the above block, above-right block and an above-left block are different from a reference picture of a current prediction unit, an availability of the above motion vector candidate is determined depending on an availability of the left motion vector candidate.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 95.0
- Lexical Diversity: 2.72
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14354529', '15256291', '15879125', '15912050', '15360375']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5989701236986736
- 35 USC 102 Novelty (BERT): 0.5729537556881413
- Combined Prediction Score: 0.5963684868976205
- Mean Citation Score: 427.702658
- Max Citation Score: 455.38962
- Similarity Product: 446.9982846536958

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