PATENT CLAIM ANALYSIS

Application Number: 15763039
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-02
Patent Classification: ["375", "240020"]

Abstract:
For each content-mapped frame of a scene, it is determined whether the content mapped frame is susceptible to object fragmentation with respect to texture in a homogeneous region based on statistical values derived from the content-mapped image and a source image mapped into the content-mapped image. The homogeneous region is a region of consistent texture in the source image. Based on a count of content-mapped frames susceptible to object fragmentation in homogeneous region, it is determined whether the scene is susceptible to object fragmentation in homogeneous region. If so, an upper limit for mapped codewords for a prediction function for predicting codewords of a predicted image from the mapped codewords in the content-mapped image is adjusted. Mapped codewords above the upper limit are clipped to the upper limit.

Claim (Index 28):
The method as recited in  claim 21 , further comprising:\n deriving a residual energy histogram from the content-mapped image and the source image, the residual energy histogram indicating, for each mapped codeword in the content-mapped image, the residual energy of all pre-mapped codewords for the mapped codeword; locating one or more residual energy peaks in the residual energy histogram; based on the one or more residual energy peaks located in the residual energy histogram, classifying the content-mapped image into a frame-level residual energy peak type in a plurality of frame-level residual energy peak types; and adjusting the upper limit for mapped codewords based at least in part on the frame level residual energy peak type of the content-mapped image.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 90.0
- Lexical Diversity: 2.38596
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15699774', '15765463', '15725101', '16324468', '15546792']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4785447592134239
- 35 USC 102 Novelty (BERT): 0.503906199448032
- Combined Prediction Score: 0.4810809032368847
- Mean Citation Score: 212.742014
- Max Citation Score: 231.30959
- Similarity Product: 143.6404823026359

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test