Abstract: A method for tilt correction of a video by an electronic device. The method may include receiving a user selection of the video. The method may include identifying a sequence of image frames of the video representing a scene in the video. The method may include determining a degree of tilt in each image frame of the sequence of image frames. The method may include determining whether cause of tilt in the sequence of image frames is un-intentional by analyzing the degree of tilt in each image frame using a trained Artificial Intelligence (AI) model. The method may include performing the tilt correction on the sequence of image frames based on the cause of tilt being un-intentional.

Abstract: A method for detecting a private video may include estimating a low (e.g., minimum) resolution for performing analysis of a plurality of frames of a video. The method may include reducing a first resolution associated with the plurality of frames to the low (e.g., minimum) resolution. The method may include detecting a presence of at least one indicator for private information in one or more frames amongst the plurality of frames upon analyzing the plurality of frames at the low (e.g., minimum) resolution. The method may include detecting a presence of the private information in the video upon analyzing the one or more frames comprising the at least one indicator at a second resolution in response to detecting the presence of the at least one indicator at the low (e.g., minimum) resolution. The method includes classifying the video as the private video in response to detecting the presence of the private information in the video at the second resolution.

Abstract: An electronic device includes a processor and a memory to store a dictionary and index information. The memory can store instructions to cause the processor to: extract a first text in a first language included in data; determine whether or not a transliteration pair is included in the dictionary; if the transliteration pair is identified, index the first text and at least one second text to the data and store same in the index information; and, if the transliteration pair is not identified, extract at least one third text in the second language by inputting the extracted first text to a machine learning model for transliterating an input in the first language into the second language and extracting same, and index the first text and the at least one third text which has been extracted to the data and store same in the index information.

Abstract: Embodiments herein provide a method for managing private content by an electronic device (100). The method includes: displaying content on a screen of the electronic device (100), wherein the content is stored in a non-secure folder of the electronic device (100) and extracting a feature(s) of the displayed content to categorize the displayed content using a machine learning (ML) model. Further, the method includes categorizing the displayed content into the private content or public content based on globally objectionable private content and user-specific objectionable private content. Further, the method includes displaying a recommendation on the screen of the electronic device (100) for transferring the displayed content into a secure folder of the electronic device (100), detecting an event to transfer the private content into the secure folder of the electronic device (100), and automatically transferring the private content from the non-secure folder to the secure folder of the electronic device (100).

Abstract: A method for managing access to content for an application of an electronic device includes receiving, from the application, a content access request for granting access to first data of one or more content types available via the electronic device; displaying one or more labels, from among a plurality of labels, corresponding to the one or more content types; receiving a first user selection of at least one label, from among the one or more labels, corresponding to the one or more content types; and granting, to the application, access to the first data of the one or more content types based on the first user selection.

Abstract: A system and a method for widget display management on a wallpaper on a user equipment (UE) are provided. The method includes detecting at least one of a current display position and a current style of at least one widget displayed on the wallpaper, detecting one or more objects present in a plurality of regions of the wallpaper, estimating one or more changes required in the at least one widget based on at least one of the current display position and the current style, and further based on the one or more objects, and altering, based on the estimated one or more changes, at least one of the current display position and the current style of the at least one widget.

Abstract: A method for intelligently sharing a content by an electronic device is provided. The method includes determining, by the electronic device, a context of sharing the content. The method includes analyzing, by the electronic device, the content with reference to the context. The method includes identifying, by the electronic device, portions of the content as non-shareable based on the analysis. The method includes providing, by the electronic device, a modification action suggestion on the portions identified as non-shareable.

Abstract: An electronic device and method performed by the electronic device for suggesting at least one are provided. The method includes detecting a user selection of a first modality in a display of the electronic device and at least one second modality present in vicinity to the first modality, deriving at least one pair of the first modality and at least one second modality by correlating the first modality and the at least one second modality, and providing a suggestion in a form of a user-operable interface based on the derived at least one pair. A user operation on the suggestion initiates execution of the at least one action on the first modality via an application.

Abstract: Example systems and methods provide input suggestions to a user to improve user experience on user devices. The input suggestions can be fill information from another app on device to the present app being used by user, information for performing a search (without the user having to copy-paste data or entering the data manually), responses to a message/notification received by the user, information/content/data to be shared between apps (without switching between apps), and emojis/GIFs that can be used by the user. The method includes analyzing one or more content of one or more screen displayed on device, generating at least one of a logical tree structure and a data mashup model of the one or more analyzed content for each screen, and providing a recommendation to a user. The recommendation can be a connected action or an input suggestion.

Abstract: Example systems and methods provide input suggestions to a user to improve user experience on user devices. The input suggestions can be fill information from another app on device to the present app being used by user, information for performing a search (without the user having to copy-paste data or entering the data manually), responses to a message/notification received by the user, information/content/data to be shared between apps (without switching between apps), and emojis/GIFs that can be used by the user. The method includes analyzing one or more content of one or more screen displayed on device, generating at least one of a logical tree structure and a data mashup model of the one or more analyzed content for each screen, and providing a recommendation to a user. The recommendation can be a connected action or an input suggestion.

Abstract: Disclosed is a method for a social interaction by a robot device. The method includes receiving an input from a user, determining an emotional state of the user by mapping the received input with a set of emotions and dynamically interacting with the user based on the determined emotional state in response to the input. Dynamically interacting with the user includes generating contextual parameters based on the determined emotional state. The method includes determining an action in response to the received input based on the generated contextual parameters and performing the determined action. The method further includes receiving another input from the user in response to the performed action and dynamically updating the mapping of the received input with the set of emotions based on the other input for interacting with the user.

Abstract: A method for tilt correction of a video by an electronic device. The method may include receiving a user selection of the video. The method may include identifying a sequence of image frames of the video representing a scene in the video. The method may include determining a degree of tilt in each image frame of the sequence of image frames. The method may include determining whether cause of tilt in the sequence of image frames is un-intentional by analyzing the degree of tilt in each image frame using a trained Artificial Intelligence (AI) model. The method may include performing the tilt correction on the sequence of image frames based on the cause of tilt being un-intentional.

Abstract: A method for detecting a private video may include estimating a low (e.g., minimum) resolution for performing analysis of a plurality of frames of a video. The method may include reducing a first resolution associated with the plurality of frames to the low (e.g., minimum) resolution. The method may include detecting a presence of at least one indicator for private information in one or more frames amongst the plurality of frames upon analyzing the plurality of frames at the low (e.g., minimum) resolution. The method may include detecting a presence of the private information in the video upon analyzing the one or more frames comprising the at least one indicator at a second resolution in response to detecting the presence of the at least one indicator at the low (e.g., minimum) resolution. The method includes classifying the video as the private video in response to detecting the presence of the private information in the video at the second resolution.

Abstract: An electronic device includes a processor and a memory to store a dictionary and index information. The memory can store instructions to cause the processor to: extract a first text in a first language included in data; determine whether or not a transliteration pair is included in the dictionary; if the transliteration pair is identified, index the first text and at least one second text to the data and store same in the index information; and, if the transliteration pair is not identified, extract at least one third text in the second language by inputting the extracted first text to a machine learning model for transliterating an input in the first language into the second language and extracting same, and index the first text and the at least one third text which has been extracted to the data and store same in the index information.

Abstract: A method for intelligently sharing a content by an electronic device is provided. The method includes determining, by the electronic device, a context of sharing the content. The method includes analyzing, by the electronic device, the content with reference to the context. The method includes identifying, by the electronic device, portions of the content as non-shareable based on the analysis. The method includes providing, by the electronic device, a modification action suggestion on the portions identified as non-shareable.

Abstract: Example systems and methods provide input suggestions to a user to improve user experience on user devices. The input suggestions can be fill information from another app on device to the present app being used by user, information for performing a search (without the user having to copy-paste data or entering the data manually), responses to a message/notification received by the user, information/content/data to be shared between apps (without switching between apps), and emojis/GIFs that can be used by the user. The method includes analyzing one or more content of one or more screen displayed on device, generating at least one of a logical tree structure and a data mashup model of the one or more analyzed content for each screen, and providing a recommendation to a user. The recommendation can be a connected action or an input suggestion.

Abstract: Embodiments herein provide a method for managing private content by an electronic device (100). The method includes: displaying content on a screen of the electronic device (100), wherein the content is stored in a non-secure folder of the electronic device (100) and extracting a feature(s) of the displayed content to categorize the displayed content using a machine learning (ML) model. Further, the method includes categorizing the displayed content into the private content or public content based on globally objectionable private content and user-specific objectionable private content. Further, the method includes displaying a recommendation on the screen of the electronic device (100) for transferring the displayed content into a secure folder of the electronic device (100), detecting an event to transfer the private content into the secure folder of the electronic device (100), and automatically transferring the private content from the non-secure folder to the secure folder of the electronic device (100).

Abstract: Disclosed is a method for a social interaction by a robot device. The method includes receiving an input from a user, determining an emotional state of the user by mapping the received input with a set of emotions and dynamically interacting with the user based on the determined emotional state in response to the input. Dynamically interacting with the user includes generating contextual parameters based on the determined emotional state. The method includes determining an action in response to the received input based on the generated contextual parameters and performing the determined action. The method further includes receiving another input from the user in response to the performed action and dynamically updating the mapping of the received input with the set of emotions based on the other input for interacting with the user.

Abstract: Disclosed is a method for a social interaction by a robot device. The method includes receiving an input from a user, determining an emotional state of the user by mapping the received input with a set of emotions and dynamically interacting with the user based on the determined emotional state in response to the input. Dynamically interacting with the user includes generating contextual parameters based on the determined emotional state. The method includes determining an action in response to the received input based on the generated contextual parameters and performing the determined action. The method further includes receiving another input from the user in response to the performed action and dynamically updating the mapping of the received input with the set of emotions based on the other input for interacting with the user.

Abstract: The disclosure herein provide a technical solution of a method comprising detecting a focus area within a graphical window of an application displayed on a screen of the electronic device, detecting at least one data item of the application in the focus area, and displaying the at least one data item with contextually related content corresponding to the at least one data item in the focus area in response to the detecting.