PATENT CLAIM ANALYSIS

Application Number: 16140034
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["375", "240020"]

Abstract:
Innovations in adaptive encoding for units of a video sequence can improve coding efficiency. For example, some of the innovations relate to encoding that includes adaptive switching of color spaces between units within a video sequence. Other innovations relate encoding that includes adaptive switching of color sampling rates between units within a video sequence. Still other innovations relate encoding that includes adaptive switching of bit depths between units within a video sequence.

Claim (Index 1):
In a computing device with a video encoder or image encoder, a method comprising:\n encoding video in a sequence, wherein color spaces, color sampling rates and/or bit depths are switched spatially and/or temporally within the sequence, and wherein the encoding includes, for each of multiple units of the video within the sequence:\n performing rate-distortion analysis to evaluate multiple options for the unit, wherein the multiple options are the color spaces, the color sampling rates or the bit depths, or combinations thereof; and \n selecting one of the multiple options depending on results of the rate-distortion analysis; and \n outputting encoded data in a bitstream.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 97.0
- Lexical Diversity: 2.08108
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15029243', '15029242', '16126325', '16126240', '15029223']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5196596870921231
- 35 USC 102 Novelty (BERT): 0.531610013060853
- Combined Prediction Score: 0.5208547196889961
- Mean Citation Score: 335.85448
- Max Citation Score: 361.56256
- Similarity Product: 330.20165186050417

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