A digital data processor includes an instruction memory storing instructions specifying data processing operations and a data operand field, an instruction decoder coupled to the instruction memory for recalling instructions from the instruction memory and determining the operation and the data operand, and an operational unit coupled to a data register file and an instruction decoder to perform an operation upon an operand corresponding to an instruction decoded by the instruction decoder and storing results of the operation. The operational unit is configured to perform a table recall in response to a look up table read instruction by recalling data elements from a specified location and adjacent location to the specified location, in a specified number of at least one table and storing the recalled data elements in successive slots in a destination register. Recalled data elements include at least one interpolated data element in the adjacent location.

A digital data processor includes an instruction memory storing instructions specifying data processing operations and a data operand field, an instruction decoder coupled to the instruction memory for recalling instructions from the instruction memory and determining the operation and the data operand, and an operational unit coupled to a data register file and an instruction decoder to perform an operation upon an operand corresponding to an instruction decoded by the instruction decoder and storing results of the operation. The operational unit is configured to perform a table recall in response to a look up table read instruction by recalling data elements from a specified location and adjacent location to the specified location, in a specified number of at least one table and storing the recalled data elements in successive slots in a destination register. Recalled data elements include at least one interpolated data element in the adjacent location.

Aspects described herein may allow an automated generation of an interactive multimedia content with annotations showing vehicle damage. In one method, a server may receive vehicle-specific identifying information of a vehicle. Image sensors may capture multimedia content showing aspects associated with exterior regions of the vehicle, and may send the multimedia content to the server. For each of the exterior regions of the vehicle, the server may determine, using a trained classification model, instances of damage. Furthermore, the server may generate an interactive multimedia content that shows images with annotations indicating instances of damage. The interactive multimedia content may be displayed via a user interface.

In some aspects, the disclosure is directed to methods and systems for machine learning-based data extraction using multiple string searching models. String extraction logic may differ depending on the type of document received. For documents identified to contain line item structures, broader searching models are applied to the document to account for the increased variability of data in the document inherent in data organized in line item structures. For documents identifier to contain non-line item structures, stricter searching models are applied to the document to account for predictable data in the document associated with data organized in non-line item structures.

A system and method for tagging a region within a frame of a distributed video file to permit easier retrievability of the region of interest.

A system and method for tagging a region within a frame of a distributed video file to permit easier retrievability of the region of interest.

A method for indexing objects in a computerized system having an index, comprising identifying in the computerized system an at least one indexed object that meets an at least one criterion related to contents of the at least one indexed object, detecting an at least one non-indexed object having a property similar to an at least one property of the at least one indexed object that was identified, and indexing the at least one non-indexed object in the index, wherein the method is performed by the computerized system, and an apparatus for performing the same.

A method for indexing objects in a computerized system having an index, comprising identifying in the computerized system an at least one indexed object that meets an at least one criterion related to contents of the at least one indexed object, detecting an at least one non-indexed object having a property similar to an at least one property of the at least one indexed object that was identified, and indexing the at least one non-indexed object in the index, wherein the method is performed by the computerized system, and an apparatus for performing the same.

Ways to associate source information with a media item are described. Source information may be validated. A media sourcing engine may receive a selected media item, collect source information associated with the selected media item, and associate the source information with the selected media item. The media source engine may be associated with, or otherwise utilized by, various publication platforms, such as social media sites, content hosting sites, etc. Source information may be associated with a media item by generating augmented media content that may be added to, embedded into, and/or otherwise associated with content associated with a received media item.

Ways to associate source information with a media item are described. Source information may be validated. A media sourcing engine may receive a selected media item, collect source information associated with the selected media item, and associate the source information with the selected media item. The media source engine may be associated with, or otherwise utilized by, various publication platforms, such as social media sites, content hosting sites, etc. Source information may be associated with a media item by generating augmented media content that may be added to, embedded into, and/or otherwise associated with content associated with a received media item.