PATENT CLAIM ANALYSIS

Application Number: 16096808
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-05
Patent Classification: ["386", "241000"]

Abstract:
An attention position detection section detects an attention position of a user to a reproduction image of moving image data. Image-related information indicating a position of a virtual division area in which the reproduction image is virtually divided and an importance level of the virtual division area is associated with the moving image data. A reproduction control section determines the importance level of the virtual division area corresponding to the attention position detected by the attention position detection section and controls a reproduction operation of the moving image data in accordance with the determined importance level. For example, the reproduction control section sets a larger number of images to be thinned in the reproduction operation as the importance level becomes lower so as to make the reproduction speed faster. The user can control the reproduction operation only by moving the attention position and easily perform the appropriate reproduction operation.

Claim (Index 17):
The information generation apparatus according to  claim 16 , wherein\n the image-related information generation section sets the importance level on a basis of the processing result of a plurality of image processing with the image processing set in plurality to the virtual division area.

Metadata:
- Claim Count in Document: 27.0
- Percentile: 97.0
- Lexical Diversity: 2.38462
- Patent Class: 386.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16045023', '10674425', '09203363', '16328215', '10730881']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5695883592514506
- 35 USC 102 Novelty (BERT): 0.4976230902512046
- Combined Prediction Score: 0.562391832351426
- Mean Citation Score: 183.048204
- Max Citation Score: 190.93007
- Similarity Product: 122.35350816504658

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