A method of clustering patterns of an integrated circuit includes; providing a pattern image and numeric data, as input data corresponding to a first pattern to a first model, wherein the first model is trained by a plurality of sample images and a plurality of sample values, obtaining a content latent variable using the first model, and grouping a plurality of content latent variables corresponding to a plurality of patterns into a plurality of clusters based on a Euclidean distance, wherein the numeric data represents at least one attribute of the first pattern.

A system and method perform cross-modal information retrieval, by generating a graph representing the set of media objects. Each node of the graph corresponds to a media object and is labeled with a set of features corresponding to a text part of the respective media object. Each edge between two nodes represents a similarity between a media part of the two nodes. A first relevance score is computed for each media object of the set of media objects that corresponds to a text-based score. A second relevance score is computed for each media object by inputting the graph into a graph neural network. The first relevance score and the second relevance score are combined to obtain a final ranking score for each media object.

A device includes an image capture device configured to capture a first video. The device includes a memory configured to store one or more videos. The device further includes a processor coupled to the memory. The processor is configured to concatenate the first video and a second video to generate a combined video. The second video is included in the one or more videos or is accessible via a network. The second video is selected by the processor based on a similarity of a first set of characteristics with a second set of characteristics. The first set of characteristics corresponds to the first video. The second set of characteristics corresponds to the second video.

Embodiments of the present invention provide a computer system a computer program product, and a method that comprises identifying privacy data within received data by identifying markers that are indicative of privacy data within the received data; generating a respective classification of an object within the identified privacy data; assigning values to the generated respective classification of the object based on a perceived threat level associated with the identified privacy data; and in response to determining that the assigned value of the received data triggers an alert associated with a predetermined threshold for privacy, automatically preventing distribution of the received data from a computing device to another computing device.

Embodiments of the present invention provide a computer system a computer program product, and a method that comprises identifying privacy data within received data by identifying markers that are indicative of privacy data within the received data; generating a respective classification of an object within the identified privacy data; assigning values to the generated respective classification of the object based on a perceived threat level associated with the identified privacy data; and in response to determining that the assigned value of the received data triggers an alert associated with a predetermined threshold for privacy, automatically preventing distribution of the received data from a computing device to another computing device.

A user device is caused to display a visual attribute representation for a plurality of visual attributes. Each visual attribute is based at least in part on an image and each visual attribute representation is selectable. A processor is caused to identify a plurality of items, each item is associated with a visual attribute matching at least one of the plurality of visual attributes. The items are classified a first set and a second set. The items in the first and second sets are mutually exclusive and simultaneously displayed. If the processor receives a single selection of a first visual attribute representation of a first visual attribute of the plurality of visual attributes, the first set consist of items associated with a visual attribute matching the first visual attribute and the second set comprise items associated with a visual attribute matching at least one of the plurality of visual attributes.

A user device is caused to display a visual attribute representation for a plurality of visual attributes. Each visual attribute is based at least in part on an image and each visual attribute representation is selectable. A processor is caused to identify a plurality of items, each item is associated with a visual attribute matching at least one of the plurality of visual attributes. The items are classified a first set and a second set. The items in the first and second sets are mutually exclusive and simultaneously displayed. If the processor receives a single selection of a first visual attribute representation of a first visual attribute of the plurality of visual attributes, the first set consist of items associated with a visual attribute matching the first visual attribute and the second set comprise items associated with a visual attribute matching at least one of the plurality of visual attributes.

Embodiments are directed to techniques for image content extraction. Some embodiments include extracting contextually structured data from document images, such as by automatically identifying document layout, document data, document metadata, and/or correlations therebetween in a document image, for instance. Some embodiments utilize breakpoints to enable the system to match different documents with internal variations to a common template. Several embodiments include extracting contextually structured data from table images, such as gridded and non-gridded tables. Many embodiments are directed to generating and utilizing a document template database for automatically extracting document image contents into a contextually structured format. Several embodiments are directed to automatically identifying and associating document metadata with corresponding document data in a document image to generate a machine-facilitated annotation of the document image. In some embodiments, the machine-facilitated annotation may be used to generate a template for the template database.

The present disclosure generally relates to navigating a collection of media items. In accordance with one embodiment, in response to receiving an input, a device displays a first view of a collection of media items, including concurrently displaying a representation of a first time period and a representation of a second time period. In accordance with a determination that a current time is associated with a first recurring temporal event: the representation of the first time period includes a first representative media item and the representation of the second time period includes a second representative media item. In accordance with a determination that the current time is associated with a second recurring temporal event, the representation of the first time period includes a third representative media item and the representation of the second time period includes a fourth representative media item.

A method for calibrating an induction cooking device includes capturing image data representing a cooking vessel and processing the image data to identify one or more features. The method further includes comparing the image data representing the cooking vessel to a library of stored image data of calibrated cookware. In response to identifying stored image data in the library that matches the one or more features, the method accesses preconfigured calibration data and configures the operation of the induction cooking device based on the preconfigured calibration data.