PATENT CLAIM ANALYSIS

Application Number: 15777788
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["375", "240120"]

Abstract:
[Object] To realize a motion compensation method that is more suitable for parallel processing of multiple chips. [Solution] Provided is an image processing apparatus including: an inter-prediction section that generates a set of reference pixels of fractional pixel positions from a reference image for motion compensation and searches an image to be encoded for a motion vector by using the set of generated reference pixels; and an encoding section that encodes the image to be encoded on a basis of a result of searching for the motion vector by the inter-prediction section. The inter-prediction section includes a reference pixel at a fractional pixel position further inward than a first predetermined distance from a boundary of a partial region corresponding to a slice or a tile, in the set of reference pixels that are used for searching the partial region for a motion vector.

Claim (Index 4):
The image processing apparatus according to  claim 3 , wherein the inter-prediction section includes a reference pixel at an integer pixel position further inward than a second predetermined distance from the boundary of the partial region, in the set of reference pixels that are used for searching f the partial region for a motion vector.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 93.0
- Lexical Diversity: 2.04
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14324117', '15149648', '12013740', '13823623', '15126365']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5344594193439454
- 35 USC 102 Novelty (BERT): 0.4995454223741857
- Combined Prediction Score: 0.5309680196469695
- Mean Citation Score: 263.66055
- Max Citation Score: 278.69952
- Similarity Product: 234.16524899963383

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

Dataset: test