PATENT CLAIM ANALYSIS

Application Number: 15757544
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["375", "240290"]

Abstract:
In order to improve both image quality and encoding efficiency when an image is compressed/encoded, transmitted, and recorded, an image compression apparatus includes a motion search units that perform motion detection between a first frame as an input image and a reference image already created in compression/encoding, a temporal filter that performs temporal filtering for the first frame using a second frame different from the input image on the basis of a result of the motion detection, and a compression/encoding units that compress/encode an image subjected to the temporal filtering. The temporal filter determines a location of the reference image and a filter characteristic on the basis of an encoding parameter used by the compression/encoding unit.

Claim (Index 7):
The image compression apparatus according to  claim 1 , wherein the temporal filter performs first temporal filtering and second temporal filtering,\n the motion search unit performs coarse motion search and fine motion search, the first temporal filtering is performed for a location of the reference image indicated by the motion vector detected in the coarse motion search, and the fine motion search detects a final motion vector using an image subjected to the first temporal filtering.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 90.0
- Lexical Diversity: 1.98387
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['10256190', '13832506', '13054690', '13054648', '11094201']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5382907092331101
- 35 USC 102 Novelty (BERT): 0.4909069382478252
- Combined Prediction Score: 0.5335523321345815
- Mean Citation Score: 226.305846
- Max Citation Score: 237.04907000000003
- Similarity Product: 183.1420615913416

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