PATENT CLAIM ANALYSIS

Application Number: 15918761
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["375", "240020"]

Abstract:
Real-time, hardware-implementable Structured Similarity (SSIM)-based rate distortion optimization (RDO) techniques for video transmission are described. The disclosed techniques provide efficient application of SSIM as a distortion metric in selecting prediction modes for encoding video for transmission. A prediction mode, at a high level, specifies which previously encoded group of pixels can be utilized to encode a subsequent block of pixels in a video frame. A less compute intensive distortion metric is first used to select a subset of candidate prediction modes. Then a more compute intensive SSIM-based selection is made on the subset. By utilizing the disclosed techniques during video encoding, tradeoffs between distortion and transmission rate can be made that are more relevant to human perception.

Claim (Index 10):
The method according to  claim 9 , wherein forming the expanded block includes padding the block with the additional pixels from the frame of input video, and wherein calculating the second distortion values further comprises:\n expanding, by padding using the additional pixels, a reconstructed block derived from the block; and performing the calculating of the second distortion values based on the expanded block and the expanded reconstructed block.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 1.67089
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14125442', '13274904', '15356142', '11774948', '14845067']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5414395566150183
- 35 USC 102 Novelty (BERT): 0.5184528826149836
- Combined Prediction Score: 0.5391408892150148
- Mean Citation Score: 278.252802
- Max Citation Score: 295.6721
- Similarity Product: 182.5631255221009

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