Abstract: The present technology analyzes the content of images to create complex representations of the images and then reduces the complexity of these representations into a size that is both suitable for comparison but also contains critical image descriptive aspects. These reduced complexity representations can then be used to efficiently search for similar images. Moreover, the reduced complexity representations are formatted such that they can take advantage of existing text search engines, which are well suited to efficiently searching through a large number of unique results.

Abstract: The present technology can analyze a collection of images to generate a high-dimension first representation of each image in the collection of images, and then reduce the dimensionality of the high-dimension first representation of each image by identifying significant features from the high-dimension first representation to yield a reduced-dimension second representation for each image in the collection of images. The present technology can then compare the second representation of any image in the collection of images to the second representation of any other image in the collection of images, wherein images having identical second representation are duplicates.

Abstract: The present technology analyzes the content of images to create complex representations of the images and then reduces the complexity of these representations into a size that is both suitable for comparison but also contains critical image descriptive aspects. These reduced complexity representations can then be used to efficiently search for similar images. Moreover, the reduced complexity representations are formatted such that they can take advantage of existing text search engines, which are well suited to efficiently searching through a large number of unique results.

Abstract: The present technology can analyze a collection of images to generate a high-dimension first representation of each image in the collection of images, and then reduce the dimensionality of the high-dimension first representation of each image by identifying significant features from the high-dimension first representation to yield a reduced-dimension second representation for each image in the collection of images. The present technology can then compare the second representation of any image in the collection of images to the second representation of any other image in the collection of images, wherein images having identical second representation are duplicates.

Abstract: The present technology can receive a collection of candidate images that are candidates for posting on a social media platform, and then determine, using artificial intelligence model, a prediction of expected engagement on the social media platform for each image of the candidate images.

Abstract: A system and method for identifying and scoring leads from social media. The method includes Identifying a lead by performing a semantic analysis of a data item disseminated by the lead via the web-enabled medium including by applying a taxonomy generated in accordance with a predefined topic to determine that the data item is related to the topic. The method then scores the data item in relation to the topic based upon a lead scoring process including by an analysis of additional historical data items disseminated by the lead.