PATENT CLAIM ANALYSIS

Application Number: 16205180
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-10
Patent Classification: ["375", "240160"]

Abstract:
Aspects of the disclosure provide methods and apparatuses for video decoding. In some examples, an apparatus includes processing circuitry. The processing circuitry decodes prediction information of a current block from a coded video bitstream. The prediction information is indicative of an intra block copy mode. Then, the processing circuitry determines, according to the intra block copy mode, a first portion of a resolution syntax. The resolution syntax is unified of a same semantic for block vectors in the intra block copy mode and motion vectors in an inter picture merge mode. Further, the processing circuitry decodes a second portion of the resolution syntax from the coded video bitstream, and determines a block vector according to a resolution that is indicated by a combination of the first portion and the second portion. Then, the processing circuitry reconstructs at least one sample of the current block according the block vector.

Claim (Index 14):
The apparatus of  claim 12 , wherein the processing circuitry is further configured to:\n select the resolution from potential integer-pel resolutions based on the second portion of the resolution syntax element.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 98.0
- Lexical Diversity: 2.50769
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16182788', '16198637', '16203145', '16147246', '16200569']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5776673608324878
- 35 USC 102 Novelty (BERT): 0.5376107204143298
- Combined Prediction Score: 0.573661696790672
- Mean Citation Score: 368.303888
- Max Citation Score: 386.17438
- Similarity Product: 277.9263785487914

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

Dataset: test