IP Library Granted Patent US 12,596,760
Granted Patent B2
US 12,596,760 · App. 18/666,051 · Granted Apr 7, 2026

Collaborative comment analysis and modification to content

Inventors: Siddhartha Pande (Bengaluru, IN); Deviprasad Punja (Bangalore, IN); Madhusudhan Srinivasan (Bangalore, IN)
Assignee: Adeia Guides Inc.
G06F16/9536H04N21/252H04N21/4532H04N21/4661
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Quick Facts
Patent No.
US 12,596,760
App. No.
18/666,051
Granted
Apr 7, 2026
Kind
B2
Abstract

Systems and methods for analyzing collaborative comments on content to create and/or modify content are disclosed herein. Each of the plurality of comments include modifying the content. Each of the plurality of comments are is analyzed to identify an action associated with each of the plurality of comments, location of the action in the content, and an owner associated with the action. Furthermore, a marker associated with the action at the identified location in the content is added.

Claims (43)

1 . A method comprising:

receiving an electronic communication comprising text;

analyzing the text of the electronic communication to identify a reference to a digital content item stored on a collaborative comment sharing platform;

analyzing the text and the digital content item to identify a proposed modification to the digital content item;

generating a digital comment, wherein the digital comment specifies: (a) an action that implements the proposed modification to the digital content item, (b) a location of the action in the digital content item, and (c) identification of a user, wherein the identification indicates the user is to execute the action;

modifying the digital content item stored on the collaborative comment sharing platform by adding a marker associated with the action at the location in the digital content, wherein the marker comprises an indication of the user who is to execute the action and an indication of the action.

2 . The method of claim 1 , wherein the digital content item comprises text, and wherein the marker indicates a position in the text of the digital content item and comprises:

a description of the proposed modification to the text;

an option to accept the proposed modification to the text;

an option to reject the proposed modification to the text; and

a link to the electronic communication.

3 . The method of claim 1 , wherein the analyzing the text of the electronic communication to identify the reference to the digital content item is executed by a trained machine learning model utilizing natural language processing.

4 . The method of claim 1 , further comprising automatically executing the action or sending a command to execute the action based on the user who is to execute the action.

5 . The method of claim 1 , further comprising storing a list of known actions and a plurality of parameters corresponding to each of the known actions and associating the generated digital comment with a known action among the list of known actions and a corresponding parameter among the plurality of parameters.

6 . The method of claim 1 , further comprising:

determining that the action corresponds to a first type of application among a plurality of types of applications.

7 . The method of claim 6 , further comprising invoking the first type of application to automatically execute the first action or to send the first-action for execution.

8 . The method of claim 6 , wherein the plurality of types of applications comprises one of a text, audio, video, audio/video or image application.

9 . The method of claim 1 , wherein the digital content item is uploaded by a first user, and wherein the user is a second user other than the first user.

10 . The method of claim 1 , wherein the electronic communication is received from a device of a first user, and wherein the user is a second user other than the first user.

11 . A system comprising:

a collaborative comment sharing platform configured to store digital content items;

a database configured to store a list of known actions and a plurality of parameters corresponding to each of the known actions; and

control circuitry configured to:

receive an electronic communication comprising text;

analyze the text of the electronic communication to identify a reference to a digital content item stored on the collaborative comment sharing platform;

analyze the text and the digital content item to identify a proposed modification to the digital content item;

generate a digital comment, wherein the digital comment specifies: (a) an action that implements the proposed modification to the digital content item, (b) a location of the action in the digital content item, and (c) identification of a user, wherein the identification indicates the user is to execute the action;

modify the digital content item stored on the collaborative comment sharing platform by adding a marker associated with the action at the location in the digital content, wherein the marker comprises an indication of the user who is to execute the action and an indication of the action.

12 . The system of claim 11 , wherein the digital content item comprises text, and wherein the marker indicates a position in the text of the digital content item and comprises:

a description of the proposed modification to the text;

an option to accept the proposed modification to the text;

an option to reject the proposed modification to the text; and

a link to the electronic communication.

13 . The system of claim 11 , wherein the control circuitry is further configured to analyze the text of the electronic communication to identify the reference to the digital content item by executing a trained machine learning model utilizing natural language processing.

14 . The system of claim 11 , wherein the control circuitry is further configured to automatically execute the action or send a command to execute the action based on the user who is to execute the action.

15 . The system of claim 11 , wherein the control circuitry is further configured to associate the generated digital comment with a known action among the list of known actions and a corresponding parameter among the plurality of parameters.

16 . The system of claim 11 , wherein the control circuitry is further configured to:

determine that the action corresponds to a first type of application among a plurality of types of applications.

17 . The system of claim 16 , wherein the control circuitry is further configured to invoke the first type of application to automatically execute the action or to send the action for execution.

18 . The system of claim 16 , wherein the plurality of types of applications comprises one of a text, audio, video, audio/video or image application.

19 . The system of claim 11 , wherein the digital content item is uploaded by a first user, and wherein the user is a second user other than the first user.

20 . The system of claim 11 , wherein the electronic communication is received from a device of a first user, and wherein the user is a second user other than the first user.

Assignments (3)
SECURITY INTEREST Recorded May 28, 2025
From: ADEIA INC. (F/K/A XPERI HOLDING CORPORATION); ADEIA HOLDINGS INC.; ADEIA MEDIA HOLDINGS INC.; ADEIA IMAGING LLC; ADEIA MEDIA LLC; ADEIA MEDIA SOLUTIONS INC.; ADEIA SEMICONDUCTOR BONDING TECHNOLOGIES INC.; ADEIA TECHNOLOGIES INC.; ADEIA GUIDES INC.; ADEIA SOLUTIONS LLC; ADEIA SEMICONDUCTOR ADVANCED TECHNOLOGIES INC.; ADEIA SEMICONDUCTOR SOLUTIONS LLC; ADEIA SEMICONDUCTOR INTELLECTUAL PROPERTY LLC; ADEIA SEMICONDUCTOR TECHNOLOGIES LLC; ADEIA PUBLISHING INC.
To: BANK OF AMERICA, N.A., AS COLLATERAL AGENT
Reel/Frame 071454/0343 →
CHANGE OF NAME Recorded Oct 3, 2024
From: ROVI GUIDES, INC.
To: ADEIA GUIDES INC.
Reel/Frame 069106/0207 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 17, 2024
From: PANDE, SIDDHARTHA; PUNJA, DEVIPRASAD; SRINIVASAN, MADHUSUDHAN
To: ROVI GUIDES, INC.
Reel/Frame 067444/0959 →
Continuity (3)
Continuation 17546782 · Dec 9, 2021
Continuation 16655788 · Oct 17, 2019
Related Publication 20240303289A1 · Sep 12, 2024
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