PATENT CLAIM ANALYSIS

Application Number: 16256201
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["375", "240150"]

Abstract:
Coding techniques for a video image compression system involve improving an image quality of a sequence of two or more bi-directionally predicted intermediate frames, where each of the frames includes multiple pixels. One method involves determining a brightness value of at least one pixel of each bi-directionally predicted intermediate frame in the sequence as an equal average of brightness values of pixels in non-bidirectionally predicted frames bracketing the sequence of bi-directionally predicted intermediate frames. The brightness values of the pixels in at least one of the non-bidirectionally predicted frames is converted from a non-linear representation.

Claim (Index 2):
A method for video processing, the method comprising:\n receiving, at a decoder as a coded bitstream, a sequence of referenceable frames spaced by at least one bidirectional predicted frame, wherein a number of bidirectional predicted frames between two consecutive sets of the referenceable frames in the sequence is variable; determining, by the decoder, at least one picture region of at least one of the bidirectional predicted frames using an unequal weighting of pixel values corresponding to at least two referenceable frames; determining, by the decoder, at least one macroblock within at least one of the bidirectional predicted frames using direct mode prediction based on motion vectors from two or more predicted frames, wherein at least one of the motion vectors is scaled by a frame scale fraction of less than zero or greater than one; and generating, based on the macroblock, an image for presentation on a display device.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 99.0
- Lexical Diversity: 1.86792
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['10187395', '13289032', '14565824', '11831723', '14729572']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5709077604746722
- 35 USC 102 Novelty (BERT): 0.5647507585535291
- Combined Prediction Score: 0.570292060282558
- Mean Citation Score: 472.17674000000005
- Max Citation Score: 474.2888
- Similarity Product: 422.7546791724205

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