Abstract: A system and method that distinguishes between logos and other categories of images, such as natural images, cartoon images, and computer-processed or generated images (“concept images”). The system receives a query image, which may, for example, be intended to be evaluated by an image search and comparison engine to identify matches to a catalog of images. The system evaluates characteristics of the query image, such as the gray-levels in the image, the edge crossings in the image, and the gradient magnitudes in the image, to identify whether the image is a logo. Based on identifying the image is a logo, the logo query image may be excluded from being evaluated by the image search and comparison engine.

Abstract: A system and method to detect similarities between images. The system and method allow comparisons between a query image and one or more catalog images in a manner that is resilient to scanning, scaling, rotating, cropping and other distortions of the query image. The system includes an image processing module that determines and/or calculates principle features of a catalog image and constructs a feature vector using one or more of the principle features. The system also includes a matching module that matches a query image to one or more catalog images. The system finds matches based on a distance measure of features present in the query image and features present in the catalog images.

Abstract: Various disclosed embodiments relate to video content analysis based in part upon the detection of shot transitions. In some embodiments, a process and computer system for detecting shot transitions in a video is used to separate a video sequence into a series of “shots” having multiple frames. These shots may then be used for additional processing, e.g., content detection within the video frames.

Abstract: Apparatus for matching a query image against a catalog of images, comprises: a feature extraction unit operative for extracting principle features from said query image; a relationship unit operative for establishing relationships between a given principle feature and other features in the image, and adding said relationships as relationship information alongside said principle features; and a first comparison unit operative for comparing principle features and associated relationship information of said query image with principle features and associated relationship information of images of said catalog to find candidate matches.

Abstract: A system and method to detect similarities between images. The system and method allow comparisons between a query image and one or more catalog images in a manner that is resilient to scanning, scaling, rotating, cropping and other distortions of the query image. The system includes an image processing module that determines and/or calculates principle features of a catalog image and constructs a feature vector using one or more of the principle features. The system also includes a matching module that matches a query image to one or more catalog images. The system finds matches based on a distance measure of features present in the query image and features present in the catalog images.

Abstract: Apparatus for matching a query image against a catalog of images, comprises: a feature extraction unit operative for extracting principle features from said query image; a relationship unit operative for establishing relationships between a given principle feature and other features in the image, and adding said relationships as relationship information alongside said principle features; and a first comparison unit operative for comparing principle features and associated relationship information of said query image with principle features and associated relationship information of images of said catalog to find candidate matches.

Abstract: Various disclosed embodiments relate to video content analysis based in part upon the detection of shot transitions. In some embodiments, a process and computer system for detecting shot transitions in a video is used to separate a video sequence into a series of “shots” having multiple frames. These shots may then be used for additional processing, e.g., content detection within the video frames.

Abstract: A system and method to detect similarities between images. The system and method allow comparisons between a query image and one or more catalog images in a manner that is resilient to scanning, scaling, rotating, cropping and other distortions of the query image. The system includes an image processing module that determines and/or calculates principle features of a catalog image and constructs a feature vector using one or more of the principle features. The system also includes a matching module that matches a query image to one or more catalog images. The system finds matches based on a distance measure of features present in the query image and features present in the catalog images.

Abstract: Apparatus for matching a query image against a catalog of images, comprises: a feature extraction unit operative for extracting principle features from said query image; a relationship unit operative for establishing relationships between a given principle feature and other features in the image, and adding said relationships as relationship information alongside said principle features; and a first comparison unit operative for comparing principle features and associated relationship information of said query image with principle features and associated relationship information of images of said catalog to find candidate matches.

Abstract: Apparatus for matching a query image against a catalog of images, comprises: a feature extraction unit operative for extracting principle features from said query image; a relationship unit operative for establishing relationships between a given principle feature and other features in the image, and adding said relationships as relationship information alongside said principle features; and a first comparison unit operative for comparing principle features and associated relationship information of said query image with principle features and associated relationship information of images of said catalog to find candidate matches.

Abstract: Content provision apparatus for suggesting media content from a media database to augment new textual content being published as a blog or the like, comprises: a text retrieval unit for retrieving new textual content over a network; a text analysis unit for analyzing the retrieved textual content; a search unit for using the analyzing of the retrieved textual content to search the media database to find media content suitable for the new textual content; and a dispatch unit for dispatching to an author of the text retrieval unit a suggestion for augmenting the new textual content. The suggestion is typically in the form of an email but alternatively may be sent using an RSS feed or via a comment for the blog. Preferably the media content can be pasted straight into the blog. A feature allows the content to carry advertising as a pop up label or link, and the advertising fee pays for the media usage rights.

Abstract: Apparatus for displaying an image or other media in a hypertext mark up language context, the image comprising at least one delineated region, the delineated region comprising a hot link to another location in said hypertext mark up language context. An editing tool is also taught for preparing such images and a method is provided of providing a free at point of use database of images, where DRM fees are paid for by links to advertising.