PATENT CLAIM ANALYSIS

Application Number: 16201686
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-04
Patent Classification: ["375", "240160"]

Abstract:
Systems and methods for reducing latency through motion estimation and compensation techniques are disclosed. The systems and methods include a client device that uses transmitted lookup tables from a remote server to match user input to motion vectors, and tag and sum those motion vectors. When a remote server transmits encoded video frames to the client, the client decodes those video frames and applies the summed motion vectors to the decoded frames to estimate motion in those frames. In certain embodiments, the systems and methods generate motion vectors at a server based on predetermined criteria and transmit the generated motion vectors and one or more invalidators to a client, which caches those motion vectors and invalidators. The server instructs the client to receive input from a user, and use that input to match to cached motion vectors or invalidators. Based on that comparison, the client then applies the matched motion vectors or invalidators to effect motion compensation in a graphic interface. In other embodiments, the systems and methods cache repetitive motion vectors at a server, which transmits a previously generated motion vector library to a client. The client stores the motion vector library, and monitors for user input data. The server instructs the client to calculate a motion estimate from the input data and instructs the client to update the stored motion vector library based on the input data, so that the client applies the stored motion vector library to initiate motion in a graphic interface prior to receiving actual motion vector data from the server. In this manner, latency in video data streams is reduced.

Claim (Index 5):
The method of  claim 1 , further comprising the step of applying a deblocking filter to macroblocks comprising untagged motion vectors in the frame.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 98.0
- Lexical Diversity: 2.89899
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15958919', '15959076', '15958979', '15958499', '10933908']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5976395487960965
- 35 USC 102 Novelty (BERT): 0.5822480694062379
- Combined Prediction Score: 0.5961004008571107
- Mean Citation Score: 401.0373619999999
- Max Citation Score: 562.16766
- Similarity Product: 372.8430739366007

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