PATENT CLAIM ANALYSIS

Application Number: 15895687
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-08
Patent Classification: ["345", "473000"]

Abstract:
Embodiments of the present invention are directed to facilitate creating cinemagraphs from virtual long-exposure images. In accordance with some embodiments of the present invention, virtual long-exposure image comprising a plurality of aligned frames is provided and a selection of a region of pixels in the virtual long-exposure image is received. Based on the selected region of pixels, a set of frames for animation is identified from the plurality of frames. The set of frames may be identified by automatically detecting a sequence of frames or by receiving a user selection of frames. The virtual LE image is combined with the set of frames to create a cinemagraph having a visible non-animated portion formed by the virtual LE image and a visible animated portion formed by the set of frames.

Claim (Index 8):
One or more computer-readable media having a plurality of executable instructions embodied thereon, which, when executed by one or more processors, cause one or more processors to perform a method comprising:\n receiving a selection of a region of pixels in a virtual long-exposure image, the virtual long-exposure image comprising a plurality of aligned frames; and presenting a cinemagraph on a graphic user interface, the cinemagraph comprising a visible portion of the virtual long-exposure image and a visible animation created from a set of frames from the plurality of aligned frames, wherein the visible animation corresponds to the region of pixels.

Metadata:
- Claim Count in Document: 21.0
- Percentile: 88.0
- Lexical Diversity: 2.15873
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13656442', '15282533', '14377732', '15264789', '14896194']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6331255323753067
- 35 USC 102 Novelty (BERT): 0.4688798167021967
- Combined Prediction Score: 0.6167009608079957
- Mean Citation Score: 174.22106200000005
- Max Citation Score: 181.8266
- Similarity Product: 143.58947961465122

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

Dataset: test