Adobe Inc Patent Portfolio Statistics

Adobe Inc.

Profile Summary

This article summarizes the perfomance of the assignee in the recent years. The overall statistics for this portfolio help to analyze the areas where the assignee is performing well. The filing trend, perfomance across the tech centers and the perfomance of the recent applications has been mentioned below. All the stats are calculated based on the perfomance in USPTO.

How does the overall patent portfolio of Adobe Inc. look like?

Total Applications: 5,689
Granted Patents: 4,911
Grant Index 96.48 %
Abandoned/Rejected Applications: 179 (3.52%)
In-Process Applications: 578
Average Grant Time: 3.65 Years
Average Office Actions: 1.97

Which Technology Area Adobe Inc. is filing most patents in? (Last 10 years)

Art Unit Definition Total Applications
2624 Selective Visual Display Systems 201
2176 Graphical User Interface and Document Processing 176
2628 Selective Visual Display Systems 172
2178 Graphical User Interface and Document Processing 161
2665 Digital Cameras 145

How many patents are Adobe Inc. filing every year?

Year Total Applications
2022 0*
2021 98*
2020 404
2019 415
2018 397

*The drop in the number of applications filed in last two years compared to previous years is because applications can take up to 18 months to get published

Recently filed patent applications of Adobe Inc. in USPTO?

Publication number: US20220029785A1
Application number: 17/450,033

Embodiments provide traceability of edits to a document, i.e., a verifiable and immutable provenance chain for the document. Systems and methods enable traceability of edits, by encoding, for states of the document, a fingerprint (e.g., a cryptographic hash of the document's contents) and an edit history within a block written to a distributed ledger (e.g., a blockchain). The ledger is maintained via a self-organizing peer-to-peer distributed ledger network. Once added to the ledger, the contents of a block (e.g., the document's fingerprint and edit history) are immutable and the integrity of the edit history encoded in the ledger is secure. The algorithm that generates the fingerprint is sensitive to edits of the document. The non-corruptible fingerprint encoded in the ledger is employable to detect any edits that are not included in the encoded edit history and/or inconsistent with a currently available version of the document.

Publication date: 2022-01-27
Applicant: Adobe Inc.
Inventors: Bates Bevil John

Publication number: US20220019412A1
Application number: 17/490,748

Application personalization techniques and systems are described that leverage an embedded machine learning module to preserve a user's privacy while still supporting rich personalization with improved accuracy and efficiency of use of computational resources over conventional techniques and systems. The machine learning module, for instance, may be embedded as part of an application to execute within a context of the application to learn user preferences to train a model using machine learning. This model is then used within the context of execution of the application to personalize the application, such as control access to digital content, make recommendations, control which items of digital marketing content are exposed to a user via the application, and so on.

Publication date: 2022-01-20
Applicant: Adobe Inc.
Inventors: Jacobs Randall Thomas William

Publication number: US20220012703A1
Application number: 17/449,124

Techniques for exchanging data segments between data aggregators and data consumers. In an embodiment, a value of an arbitrary data segment selected by a data consumer is computed. In particular, an individual user value is calculated for each user represented in the data segment, wherein the individual user value is a weighted sum (or other function) of the one or more features of the data segment attributable to that user, plus an additive gaussian noise. The overall value of the data segment is the sum of the individual user values. An offer price for the data segment can then be calculated using the overall value. Once a request is received from the consumer to purchase the data segment at the offer price, the data segment can be exchanged between the aggregator and consumer. Thus, a data marketplace or platform for the exchange of data segments is enabled.

Publication date: 2022-01-13
Applicant: Adobe Inc.
Inventors: Kumar Saini Shiv

How are Adobe Inc.’s applications performing in USPTO?

Application Number Title Status Art Unit Examiner
17/450,033 Traceability Of Edits To Digital Documents Via Distributed Ledgers 2431
17/490,748 Application Digital Content Control Using An Embedded Machine Learning Module OPAP Central, Docket
17/449,124 System To Facilitate Exchange Of Data Segments Between Data Aggregators And Data Consumers OPAP Central, Docket
17/486,269 Motion Retargeting With Kinematic Constraints OPAP Central, Docket
17/484,201 Search Input Generation For Image Search OPAP Central, Docket