Abstract: Methods for predicting network access probability of data files accessible over a computer network are provided. In one aspect, a method includes generating a primary data vector for a media file based on a stored data representation of the file, and providing the data vector for the file to an algorithm that uses past interaction information for at least one other media file from a collection of media files having a degree of similarity with the media file above a threshold similarity value. The method also includes receiving, as an output of the algorithm, a marketability score for the media file, the score indicative of a likelihood that a user will download the media file. Systems and machine-readable media are also provided.

Abstract: Methods for identifying visual portions of visual media files that are responsive to at least one visual media input file submitted as a search query are provided. In one aspect, a method includes generating an index of visual portions of a plurality of visual media files from a collection of media files, and receiving from a user a search query, for the collection, including at least one visual media input file. The method also includes analyzing the index to identify at least one responsive visual media file from the collection that includes a visual portion associated with a visual similarity score, to the at least one visual media input file, which exceeds a similarity threshold value, and providing, in response to the search query, an identifier of the at least one responsive visual media file for display as responsive to the search query. Systems and machine-readable media are also provided.

Abstract: Methods for identifying visual portions of visual media files responsive to search queries are provided. In one aspect, a method includes identifying, for each of a plurality of visual media files from a collection of media files, visual portions of the plurality of visual media files responsive to a group of search queries, and providing, in response to a search query from the group of search queries, an identifier of a visual portion of at least one of the plurality of visual media files for display as responsive to the search query. Systems and machine-readable media are also provided.

Abstract: A computer-implemented method is provided for retrieving an image from a user in a desired format and for detecting a compression efficiency for the image. When the compression efficiency is above a pre-selected threshold the computer-implemented method includes obtaining a saliency representation of the image, capturing a feature description of a non-salient portion of the image, flattening the non-salient portion in a new image, storing the new image in a selected format in a memory and storing a background descriptor for the image in the memory.

Abstract: Methods for predicting network access probability of data files accessible over a computer network are provided. In one aspect, a method includes generating a primary data vector for a media file based on a stored data representation of the file, and providing the data vector for the file to an algorithm that uses past interaction information for at least one other media file from a collection of media files having a degree of similarity with the media file above a threshold similarity value. The method also includes receiving, as an output of the algorithm, a marketability score for the media file, the score indicative of a likelihood that a user will download the media file. Systems and machine-readable media are also provided.

Abstract: A computer-implemented method is provided for retrieving an image from a user in a desired format and for detecting a compression efficiency for the image. When the compression efficiency is above a pre-selected threshold the computer-implemented method includes obtaining a saliency representation of the image, capturing a feature description of a non-salient portion of the image, flattening the non-salient portion in a new image, storing the new image in a selected format in a memory and storing a background descriptor for the image in the memory.

Abstract: Methods for identifying visual portions of visual media files that are responsive to at least one visual media input file submitted as a search query are provided. In one aspect, a method includes generating an index of visual portions of a plurality of visual media files from a collection of media files, and receiving from a user a search query, for the collection, including at least one visual media input file. The method also includes analyzing the index to identify at least one responsive visual media file from the collection that includes a visual portion associated with a visual similarity score, to the at least one visual media input file, which exceeds a similarity threshold value, and providing, in response to the search query, an identifier of the at least one responsive visual media file for display as responsive to the search query. Systems and machine-readable media are also provided.

Abstract: Methods for predicting network access probability of data files accessible over a computer network are provided. In one aspect, a method includes generating a primary data vector for a media file based on a stored data representation of the file, and providing the data vector for the file to an algorithm that uses past interaction information for at least one other media file from a collection of media files having a degree of similarity with the media file above a threshold similarity value. The method also includes receiving, as an output of the algorithm, a marketability score for the media file, the score indicative of a likelihood that a user will download the media file. Systems and machine-readable media are also provided.

Abstract: Methods for analyzing data files to identify similar files to group for display within a limited visual space of a graphical user interface are provided. In one aspect, a method includes receiving a search query for a collection of media files, and identifying a subset of the media files from the collection that is responsive to the search query. The method also includes grouping the subset of the media files into a plurality of groups based on their visual similarity, wherein the visual similarity of each media file in the subset of media files is determined using an image vector corresponding to each media file, and providing the subset of the media files for display in their respective groups. Systems and machine-readable media are also provided.

Abstract: Various aspects of the subject technology relate to systems, methods, and machine-readable media for selected image subset based search. The subject technology includes an image retrieval system using a convolutional neural network that is trained to identify features from pixel data and using an image search engine to search features of a cropped raw image against images having similar content. The system identifies a subset image corresponding to a user selection of a portion of an image. The system provides the subset image to a storage service to obtain a raw image. The system maps pixel data of the raw image corresponding to the selected portion of the image to create the cropped raw image, and fed through a feature extractor to form a corresponding feature vector. The feature vector of the cropped raw image may be searched against images having similar content to determine a prioritized listing of images.

Abstract: Systems and methods are disclosed which facilitate identifying extra substantive material within a content item not included within corresponding companion content items. For example, extra substantive material may include commentary, interviews, or improvisation included within an audio book and not included within a corresponding electronic book. Specifically, an electronic marketplace is disclosed that may analyze two companion content items to determine similarities and differences between the content items. Thereafter, portions that differ between the content items may be further analyzed to determine whether these portions include extra substantive material. Also disclosed is an electronic marketplace for providing information regarding content items, including the existence of extra substantive material within a content item. In some instances, the electronic marketplace may be configured to provide samples of extra content within a content item to a user.

Abstract: Features are disclosed for searching within audio content. Users may submit search terms in text format. An index of text that is audibly presented in the audio content may be searched to identify an instance of a search term. A play position corresponding to the instance may be obtained, and a user may be provided with access to a portion of the audio content based on the play position. The particular play position that is chosen may be based on additional factors, such as popularity of the portion, prior search history and interactions, etc.

Abstract: Systems and methods are disclosed which facilitate identifying extra substantive material within a content item not included within corresponding companion content items. For example, extra substantive material may include commentary, interviews, or improvisation included within an audio book and not included within a corresponding electronic book. Specifically, an electronic marketplace is disclosed that may analyze two companion content items to determine similarities and differences between the content items. Thereafter, portions that differ between the content items may be further analyzed to determine whether these portions include extra substantive material. Also disclosed is an electronic marketplace for providing information regarding content items, including the existence of extra substantive material within a content item. In some instances, the electronic marketplace may be configured to provide samples of extra content within a content item to a user.