Abstract: Slideshow video file detection. A method includes receiving a search query for video files of a desired type. A portion of a video file is extracted. A frame difference based histogram and an active pixel based histogram are generated for the portion. Further, the frame difference based histogram and an active pixel based histogram are provided to a machine learning tool. An indicator is determined for the portion based on a plurality of parameters. The video file is classified as the desired type based on the indicator. The video file is provided to the user.

Abstract: The present invention provides a method and system for determining near-duplicate images. The method and system includes performing a Fourier-Mellin transform on each of a plurality of images. For each image of the plurality of images, the method and system includes generating a signature based on the Fourier-Mellin transform. The method and system includes comparing the signature of at least one of the images to at least one of the signatures of the other plurality of images and determining any near duplicate images based on the comparing of the signatures.

Abstract: Methods and systems are provided that may be used to determine a whether an image contains spam. In one particular embodiment, an image is transformed and spam is detected based on such a transformed image.

Abstract: A method of reducing storage capacity needed to store a target image in a large database of images is presented. A target image is uploaded from a client system to a server system, which are connected through an Internet connection. An image index is queried to find an approximate match to the target image and to identify a most similar reference image to a processed target image stored in an image database. The difference between the target image and a raw image corresponding to the identified most similar reference image is encoded. A pointers corresponding to the processed reference image stored in the image index is updated to reflect the newly stored target image in the image index.

Abstract: A method of generating a list of ranked media-content search results is presented. The method begins with a plurality of links to media-content being collected and the media content is grouped by originating site. A query for media-content is initiated when a keyword is received. The media-content from each originating site or subsite receives a tag-specific ranking. Each grouping of media-content is ranked based on external-based metrics and quality-based metrics. Quality-based metrics are defined by calculating a percentage of the media-content of each grouping that is associated with the keyword, the quality of the media content, relevance of the text associated with each media-content to the keyword, and other measurements. A relative weighting between external-based metrics and quality-based metrics is established for each grouping of media-content.

Abstract: The present invention is directed towards systems and methods for improving image labeling using content-based image retrieval. The method according to one embodiment of the present invention comprises selecting an image query and identifying a first image related to the image query. The method then selects a plurality of second images related to the first image and assigns weights to the plurality of second images. Finally, the method displays the first images and the second images on a client device.

Abstract: The present invention is directed towards systems and methods for filtering unsafe content items within a multimedia repository. The method of the present invention comprises automatically identifying a first plurality of unsafe content items from the content items and automatically identifying a second plurality of unclassifiable content items from the content items. The method identifies a third plurality of unsafe content items from the content items, the third plurality of unsafe content items identified according to a similarity to the first plurality and manually identifying a fourth plurality of unsafe content items, the fourth plurality of unsafe content items comprising a subset of the second plurality of unclassifiable items. A fifth plurality of unsafe content items is then identified, the fifth plurality of unsafe content items identified according to a similarity to the fourth plurality.

Abstract: Methods and apparatus are described which enable the efficient adaptation of web pages to mobile displays. The more important or relevant sections of a web page are identified and configured into a more compact form. Both layout preserving and high compaction techniques are described.

Abstract: A method for expanding a query to include additional terms associated through visual content is provided. A bipartite graph is constructed based on a database of visual content and associated textual content. One partition of the bipartite graph contains visual content and the other partition of the bipartite graph contains textual content. Weighted edges between nodes in the two partitions represent associations between the visual content and textual content in the database. Random walks on the bipartite graph are performed to derive probabilistic association scores between textual content that are indirectly associated with each other through visual content. The query is expanded to include additional terms whose equivalent textual content is highly associated with the query's equivalent textual content.

Abstract: A method for deriving probabilistic association scores based on image content is provided. A bipartite graph is constructed based on a database of image content and associated textual content. One partition of the bipartite graph contains image content and the other partition of the bipartite graph contains textual content. Weighted edges between nodes in the two partitions represent associations between the image content and textual content in the database. Random walks on the bipartite graph are performed to derive probabilistic association scores between image content and textual content. Association scores are used to automatically annotate images and detect spurious image tags.

Abstract: Techniques are described herein for determining a distractibility measure for an item to be displayed on a display. The distractibility measure for an item is determined based on the individual distractibility measures for one or more of: the static distraction of the item, the onset response of the item, the optic-flow motion of the item, and the change in velocity of objects in the item. Each individual distractibility measure can be further multiplied by a weighting factor which affects the composition of the distractibility measure for the item. The distractibility measure for the item can be further based on the size of the item, how far away the item is from a primary content on the display, and the distractibility measure of the primary content on the display. The distractibility measure for the item can be compared to a maximum level of distractibility for automatically determining whether the item should be displayed on the display.

Abstract: Keyframes of video are arranged on a display based on characteristics on the keyframes, such as content similarity and temporal relation as compared to each other, where input is received comprising one or more keyframes from video data and it is determined where to display the one or more keyframes along a first axis of the display based on a time associated with the keyframe or keyframes. It is determined where to display the one or more keyframes along a second axis based on the content of the keyframe or keyframes.

Abstract: A method for achieving uninterrupted interactivity for user watching a video yet clicking on an advertisement is provided. A method for delayed interactivity is provided herein. Delayed interactivity is implemented in the form of delayed insertions. When a user clicks on an object in hypervideo, presentation of or any action on the related information is deferred rather than played immediately. Delayed interactivity also is implemented in the form of video bookmarks. When a user clicks on an actual advertisement, related information is stored, i.e., bookmarked, along with video content. In this way, the user can pursue the related information at a later time and at the user's convenience.

Abstract: A method for achieving uninterrupted interactivity for user watching a video yet clicking on an advertisement is provided. A method for delayed interactivity is provided herein. Delayed interactivity is implemented in the form of delayed insertions. When a user clicks on an object in hypervideo, presentation of or any action on the related information is deferred rather than played immediately. Delayed interactivity also is implemented in the form of video bookmarks. When a user clicks on an actual advertisement, related information is stored, i.e., bookmarked, along with video content. In this way, the user can pursue the related information at a later time and at the user's convenience.

Abstract: Keyframes of video are arranged on a display based on characteristics on the keyframes, such as content similarity and temporal relation as compared to each other, where input is received comprising one or more keyframes from video data and it is determined where to display the one or more keyframes along a first axis of the display based on a time associated with the keyframe or keyframes. It is determined where to display the one or more keyframes along a second axis based on the content of the keyframe or keyframes.

Abstract: Techniques are described herein for detecting pornographic content in digital image data by analyzing the texture of the digital image data, and as a result of analyzing the texture of digital image data, designating the digital image as being pornographic or otherwise containing adult or offensive content.

Abstract: Techniques are described herein for detecting particular body parts in a digital image, and as a result of detecting at least one of these body parts, classifying the digital image as a particular type. According to an embodiment, digital image data that defines a digital image is received as input and the digital image data is analyzed to detect whether the digital image includes one or more specified body parts, such as breasts and/or buttocks. If the digital image is determined to contain one or more of the specified body parts, then the digital image is designated as a first type, such as pornography.

Abstract: Geometric tagging is described. A method for transforming an image into a three dimensional (3D) representation includes receiving a first user input that specifies selection of a category from a set of categories of geometric objects. Each category of the set is associated with one or more taggable features. A list of user controls is presented that correspond to the taggable features of the category. A second user input is received via the list of user controls that associates tags within an image feature of an image. Each of the tags is associated with one of the taggable features. The image is processed according to the tags of the second user input. A 3D representation of the image is presented based on the processing. The image can include structured scenes, with planar and/or non-planar surfaces, and/or free-form surfaces.

Abstract: Computer-based skimming and scrolling of aurally presented information is described. Different levels of skimming are achieved in aural presentations with allowing a user to navigate an aural presentation according to significant points identified within an information source. The significant points are identified using various indicia that suggest logical arrangements for the information contained within the source, such as semantics, syntax, typography, formatting, named entities, and markup tags. The identified significant points signal changes in playback mode for the audio presentation, such as different tones, pitches, volumes, or voices. Similar indicia may be used to generate identifying markers from the information source that can be aurally presented in lieu of the information source itself to allow for aural scrolling of the information.