PATENT CLAIM ANALYSIS

Application Number: 15904049
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["375", "240270"]

Abstract:
An adaptive video noise reduction (AVNR) engine reduces noise in streaming video. The engine reads embedded information in the streaming video describing attributes of the video, such as bit rate, frame rate, resolution, content type and quality of the streaming video. The information may be included in a manifest of the streaming video. Based on the video attributes, the engine outputs one or more input values to applications that reduce noise of the streaming video. The one or more applications may reduce mosquito, block, temporal, random and banding noise of the video in response to the input values from the engine.

Claim (Index 8):
A computing device, comprising;\n one or more processors; and one or more processor readable storage memories holding instructions executable by the one or more processors to:\n receive data comprising video data representing a video and attribute data representing at least one attribute of the video comprising at least one of a quality indicator value inserted during encoding of the video, frame rate and bit rate of the video; \n determining one or more inputs to a first application for reducing noise in the video, the one or more inputs derived from the attribute data; \n selecting at least a first input of the one or more inputs to be input into the first application to reduce noise in the video; and \n sending the at least first input to the first application, the first application operative to reduce noise in the video based on the at least first input.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 88.0
- Lexical Diversity: 2.07143
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13250530', '11109290', '13623589', '15705556', '14708128']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4304539972464613
- 35 USC 102 Novelty (BERT): 0.4778092193521496
- Combined Prediction Score: 0.4351895194570302
- Mean Citation Score: 139.65056199999998
- Max Citation Score: 141.48743000000005
- Similarity Product: 100.41120706542078

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