PATENT CLAIM ANALYSIS

Application Number: 16131574
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["375", "240160"]

Abstract:
A predicted signal generation unit provided in a video predictive encoding device estimates a zero-th motion vector for derivation of a zero-th predicted signal, selects a zero-th motion vector predictor similar to the zero-th motion vector, and generates zero-th side information containing a zero-th motion vector predictor index to identify the motion vector predictor and a motion vector difference determined from the zero-th motion vector and the zero-th motion vector predictor. The video predictive encoding device selects a motion vector for generation of a first predicted signal having a high correlation with a target region, generates first side information containing a first motion vector predictor index to identify the motion vector as a first motion vector predictor, sets the first motion vector predictor to a first motion vector, and combines the zero-th and first predicted signals to generate a predicted signal of the target region.

Claim (Index 2):
A video predictive decoding method executed by a video predictive decoding device, comprising:\n a decoding step of decoding side information and a compressed data of a residual signal of a target region, which is a target to be decoded, out of plural sets of compressed data obtained by encoding a plurality of divided regions; a motion information reconstruction step of restoring a motion vector used to generate a predicted signal of the target region from the side information; a motion information storing step of storing the motion vector in a motion information storing unit; a motion compensation step of generating the predicted signal of the target region, based on the motion vector; a residual signal reconstruction step of restoring a reproduced residual signal of the target region from the compressed data comprising the residual signal; and a picture storing step of adding the predicted signal to the reproduced residual signal to reconstruct a pixel signal of the target region, and storing the reconstructed pixel signal as a previously-reproduced picture, wherein in the decoding step, the video predictive decoding device decodes zero-th side information and first side information, wherein the zero-th side information contains a zero-th motion vector difference, and a zero-th motion vector predictor index used to identify as a zero-th motion vector predictor one motion vector selected from a plurality of motion vectors stored in the motion information storing unit, wherein the first side information contains a first motion vector predictor index used to identify as a first motion vector predictor one motion vector selected from a plurality of motion vectors stored in the motion information storing unit, wherein the motion information reconstruction step comprises: a zero-th motion information reconstruction step of deriving the zero-th motion vector predictor based on the zero-th motion vector predictor index by using the one motion vector selected from the motion vectors stored in the motion information storing unit, and adding the zero-th motion vector predictor to the zero-th motion vector difference to reconstruct a zero-th motion vector; and a first motion information reconstruction step of setting 0 for a vector value of a first motion vector difference, deriving the first motion vector predictor based on the first motion vector predictor index by using the one motion vector selected from the motion vectors stored in the motion information storing unit, and adding the first motion vector predictor to the first motion vector difference to reconstruct a first motion vector, and wherein the zero-th side information further contains a zero-th reference frame index to identify a zero-th reference frame for generating a zero-th predicted signal of the target block, and when the zero-th reference frame identified by the zero-th reference frame index is different from a reference frame identified by the zero-th motion vector predictor index, a scaling process of the zero-th motion vector predictor is performed based on frame numbers of the decoding target frame, the zero-th reference frame of the target block, and the reference frame identified by the zero-th motion vector predictor index before adding the zero-th motion vector predictor to the zero-th motion vector difference to reconstruct the zero-th motion vector, and wherein the first side information further contains a first reference frame index to identify a first reference frame for generating a first predicted signal of the target block, and when the first reference frame identified by the first reference frame index is different from a reference frame identified by the first motion vector predictor index, a scaling process of the first motion vector predictor is performed based on frame numbers of the decoding target frame, the first reference frame of the target block, and the reference frame identified by the first motion vector predictor index before adding the first motion vector predictor to the first motion vector difference to reconstruct the first motion vector, wherein in the motion compensation step, the video predictive decoding device combines two signals acquired from the previously-reproduced picture, based on the zero-th motion vector and the first motion vector respectively, to generate the predicted signal of the target region.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 97.0
- Lexical Diversity: 3.10204
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15473791', '15808449', '15473838', '15357696', '14271423']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5946855021994278
- 35 USC 102 Novelty (BERT): 0.6393708317257679
- Combined Prediction Score: 0.5991540351520619
- Mean Citation Score: 591.777724
- Max Citation Score: 597.39343
- Similarity Product: 579.1357949760699

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