PATENT CLAIM ANALYSIS

Application Number: 16450464
Application Type: Utility
Filing Date: 2019-06
Publication Date: 2019-10
Patent Classification: ["375", "240020"]

Abstract:
A method comprising: encoding a first picture on a first scalability layer and on a lowest temporal sub-layer; encoding a second picture on a second scalability layer and on the lowest temporal sub-layer, wherein the first picture and the second picture represent the same time instant, encoding one or more first syntax elements, associated with the first picture, with a value indicating that a picture type of the first picture is other than a step-wise temporal sub-layer access (STSA) picture; encoding one or more second syntax elements, associated with the second picture, with a value indicating that a picture type of the second picture is a step-wise temporal sub-layer access picture; and encoding at least a third picture on a second scalability layer and on a temporal sub-layer higher than the lowest temporal sub-layer.

Claim (Index 4):
The method according to  claim 3 , wherein starting the step-wise decoding further comprises the following conditional operation:\n when a current picture is an IRAP picture and decoding of all reference layers of the IRAP picture has been started, the IRAP picture and all pictures following it, in decoding order, in the same layer are decoded.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 100.0
- Lexical Diversity: 3.0
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14659131', '16298763', '15804619', '14556504', '14973405']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6024446622395924
- 35 USC 102 Novelty (BERT): 0.669946035378741
- Combined Prediction Score: 0.6091947995535073
- Mean Citation Score: 476.912096
- Max Citation Score: 657.25415
- Similarity Product: 651.7141607894986

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