PATENT CLAIM ANALYSIS

Application Number: 16001928
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-12
Patent Classification: ["725", "146000"]

Abstract:
A method for optimizing an animation file by reducing its size without substantially modifying the quality of the animation as viewed by a user is disclosed. The solution includes assigning a metadata tag to each frame in the animation file and creating a metadata playback file to store a sequence of frames that should be played during playback of the optimized animation file. Each animation frame in the original animation file is then compared to all other previous non-repetitive frames to determine if the current frame is substantially similar to a previous one. When a frame is determined to be substantially similar, it is deleted in the optimized animation file, while a reference to the previous similar frame is included in the sequence of frames stored in the metadata playback file.

Claim (Index 11):
The apparatus of  claim 9 , wherein comparing the next frame in the plurality of sequential frames to one of the plurality of reference frames comprises comparing one or more properties of each pixel in the next frame with one or more properties of each pixel in the one of the plurality of reference frames, the one or more properties including transparency.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 2.01471
- Patent Class: 725.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15296949', '15321670', '14137882', '10713319', '11433927']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4519499971340113
- 35 USC 102 Novelty (BERT): 0.4802741181110008
- Combined Prediction Score: 0.4547824092317103
- Mean Citation Score: 152.16333600000004
- Max Citation Score: 159.72937
- Similarity Product: 110.54669580521404

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