PATENT CLAIM ANALYSIS

Application Number: 15909938
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["375", "240270"]

Abstract:
A method is presented for detecting visual artifacts such as macroblocking artifacts appearing in a rendering of a video stream. A decoded video stream that includes a plurality of frames is received. Edges appearing in the plurality of frames are detected and data characterizing the edges is directed to a neural network. The neural network determines a likelihood that a macroblocking artifact occurs in the video stream using the neural network. The neural network is trained using training data that includes (i) one or more video sequences having known macroblocking artifacts whose size and duration are known and (ii) user ratings indicating a likelihood that users visually perceived macroblocking in each of the one or more video sequences when each of the one or more video sequences are rendered.

Claim (Index 18):
One or more non-transitory computer-readable storage media containing instructions which, when executed by one or more processors perform a method for detecting visual artifacts appearing in a rendering of a video stream, the method comprising:\n receiving a decoded video stream that includes a plurality of frames; obtaining information appearing in the plurality of frames indicative of one or more visual artifacts; directing the information to a neural network; and determining a likelihood that a visual artifact is present in the video stream using the neural network, the neural network being trained using training data that includes (i) one or more video sequences having known visual artifacts whose characteristics are known and (ii) using user ratings indicating a likelihood that users visually perceived visual artifacts in each of the one or more video sequences when each of the one or more video sequences are rendered.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 2.0597
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14732551', '13678680', '13309988', '15192839', '12417968']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4476839412881348
- 35 USC 102 Novelty (BERT): 0.4673165070488008
- Combined Prediction Score: 0.4496471978642015
- Mean Citation Score: 140.703412
- Max Citation Score: 152.36925
- Similarity Product: 113.5162090521008

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