PATENT CLAIM ANALYSIS

Application Number: 15861476
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["375", "240160"]

Abstract:
The techniques described herein relate to methods, apparatus, and computer readable media configured to determine motion vectors. The techniques relate to both encoders and decoders. For example, a decoder receives compressed video data related to a set of frames. The decoder calculates, using a decoder-side predictor refinement technique, a new motion vector for a current frame from the set of frames, wherein the new motion vector estimates motion for the current frame based on one or more reference frames. The calculation includes retrieving a first motion vector associated with the current frame, executing a first portion of the decoding process using the first motion vector, retrieving a second motion vector associated with the current frame that is different than the first motion vector, and executing a second portion of the decoding process using the second motion vector.

Claim (Index 16):
The encoding method of  claim 14 , further comprising performing motion vector encoding, motion vector prediction generation, or both, using the unrefined motion vector, the unrefined motion vector set, or both, such that the unrefined motion vector, the unrefined motion vector set, or both are not refined using a decoder-side motion vector refinement tool.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 86.0
- Lexical Diversity: 2.18841
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15754721', '15080478', '14172410', '14882152', '13632972']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4986973109534807
- 35 USC 102 Novelty (BERT): 0.5160100581417627
- Combined Prediction Score: 0.500428585672309
- Mean Citation Score: 277.946994
- Max Citation Score: 322.6563
- Similarity Product: 254.20833104100825

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