Abstract: A method for capturing, recording, playing back, visually representing, storing and processing of audio signals, comprises converting the audio signal into a video that pairs the audio with a visual representation of the audio data where such visual representation may contain the waveform, relevant text, spectrogram, wavelet decomposition, or other transformation of the audio data in such a way that the viewer can identify which part of the visual representation is associated with the currently playing audio signal.

Abstract: Embodiments of the invention relate to a computer-implemented method and system for providing personalized recommendations for a target user based at least on stored data about the target user. The method comprises obtaining a plurality of feedback data from a plurality of users, wherein the feedback data comprises an indication of a media object, a response obtained from target user related to the feedback data, and at least one demographic data element associated with the target user. A set of personalized recommendations for the target user are identified based at least on stored data about the target user and the feedback data related to the user. The personalized recommendations system identifies media objects to potentially provide to the target user, and selects or filters the identified media objects to form a set of personalized media objects associated with the set of personalized recommendations.

Abstract: Embodiments of the invention relate to methods and systems for evaluating entities for a target user, the method comprising obtaining, at a server computer, entity data from a plurality of data sources. The entity data is then stored in an entity database. The method further comprises merging the entity data from the plurality of data sources, mapping the entity data to a corresponding entity, and differentiating the entity. Then a relevance is determined associated with the entity data and data source. The method further comprises generating a set of entity evaluations to the target user using the relevance, determining a set of one or more entities relevant to the primary user based on the entity data, user data, and the relevance, with an initial order of relevance, and displaying, on a user device, the set of relevant entities to the target user in the order of relevance.

Abstract: Systems and methods for image classification are disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of selecting a predetermined number of training images that are representative of images associable with a particular topic category. One embodiment can include, extracting training image features from the training images, generating a set of descriptors characteristic of images associable with the particular topic category, and generating the particular set of predetermined models that correspond to the particular topic category based on the set of descriptors.

Abstract: Systems and methods for providing advertisement optimization services are disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of analyzing a first set of images hosted by the web-publisher for display on the website. One embodiment can include, analyzing metadata associated with a set of advertisements available to the web-publisher for placement on the website, and identifying an advertisement suitable for placement on a webpage of the website for a fee.

Abstract: Systems and methods for image classification are disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of selecting a predetermined number of training images that are representative of images associable with a particular topic category. One embodiment can include, extracting training image features from the training images, generating a set of descriptors characteristic of images associable with the particular topic category, and generating the particular set of predetermined models that correspond to the particular topic category based on the set of descriptors.

Abstract: Systems and methods for advertisement delivery optimization are disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of identifying multimedia content associated with a web-user. One embodiment can include, analyzing the multimedia content to retrieve a set of descriptors, comparing the set of descriptors with metadata of a plurality of advertisements, selecting a candidate pool of advertisements from the plurality of advertisements based on relevancy indicated by the comparison, and presenting at least a portion of the candidate pool of advertisements to the web-user.

Abstract: A new approach contemplating a variety of improved methods and systems to perform intelligent image resizing on an image is proposed. The approach enables a user to interactively mark or select portions of the image to preserve and/or remove. An energy function can then be used to calculate values of an energy metric, for a non-limiting example, entropy, on every pixel over the entire image. Such calculated values can then be used to determine the optimal regions where new pixels are to be inserted or existing pixels are to be removed in order to minimize the amount of energy lost (for shrinking) or added (for growing) in the image.