Patent application number | Description | Published |
20100158470 | IDENTIFICATION OF SEGMENTS WITHIN AUDIO, VIDEO, AND MULTIMEDIA ITEMS - The invention pertains to methods, systems, and apparatus for identifying segments within a media item, the media segment including at least one of audio content and video content, comprising segmenting the media item into a plurality of segments as a function of subject matter, storing data identifying each segment and its subject matter, and organizing each segment within an ontology based on its subject matter. | 06-24-2010 |
20100161580 | METHOD AND APPARATUS FOR ORGANIZING SEGMENTS OF MEDIA ASSETS AND DETERMINING RELEVANCE OF SEGMENTS TO A QUERY - The invention pertains to methods, systems, and apparatus for identifying media items relevant to a selected subject matter, the method comprising determining the subject matter of a first media item, the first media item comprising at least one of audio content and video content, determining the classification within an ontology of the subject matter of the first media item, analyzing the ontology to identify other subject matter related to the subject matter of the first media item, and performing a search for other media items relevant to the subject matter of the first media item as a function of at least the other related subject matter according to the ontology. | 06-24-2010 |
20120011109 | Automatic Segmentation of Video - Content items may be segmented and labeled by topic to provide for the capture, analysis, indexing, retrieval and/or distribution of information within information rich media, such as audio or video, with greater functionality, accuracy and speed. The segments and other related information may be stored in a database and made accessible to users through, for example, a search service and/or an on-demand service. Automatic segmentation may include receiving a text representation, calculating relevance intervals based on the text representation, determining a nodal representation based on the relevance intervals, and determining segments of the content item based on the nodal representation. | 01-12-2012 |
20130036124 | Segmentation of Video According to Narrative Theme - Content items may be segmented and labeled by a theme to provide information, such as audio or video, with greater functionality, accuracy and speed. The segments and other related information may be stored and made accessible to users through, for example, a search service and/or an on-demand service. Also provided is automatic segmentation that may include any one of receiving a textual description of a content item, determining themes within the textual description, determining relevance intervals corresponding to terms of the theme, filtering and/or merging the relevance intervals, and determining a total interval for each theme that represents one or more contextually-coherent segments of the content item. | 02-07-2013 |
20130114899 | CONTENT DESCRIPTOR - An apparatus, method, system and computer-readable medium are provided for generating one or more descriptors that may be associated with content. A teaser for the content may be identified based on contextual similarity between words and/or phrases in the segment and one or more other segments, such as a previous segment. An optical character recognition (OCR) technique may be applied to the content, such as banners or graphics associated with the content in order to generate or identify OCR'd text or characters. The text/characters may serve as a candidate descriptor(s). One or more strings of characters or words may be compared with (pre-assigned) tags associated with the content, and if it is determined that the one or more strings or words match the tags within a threshold, the one or more strings or words may serve as a candidate descriptor(s). One or more candidate descriptor identification techniques may be combined. | 05-09-2013 |
20130191415 | Automatic Segmentation of Video - Content items may be segmented and labeled by topic to provide for the capture, analysis, indexing, retrieval and/or distribution of information within information rich media, such as audio or video, with greater functionality, accuracy and speed. The segments and other related information may be stored in a database and made accessible to users through, for example, a search service and/or an on-demand service. Automatic segmentation may include receiving a text representation, calculating relevance intervals based on the text representation, determining a nodal representation based on the relevance intervals, and determining segments of the content item based on the nodal representation. | 07-25-2013 |
20140258284 | Method and Apparatus for Organizing Segments of Media Assets and Determining Relevance of Segments to a Query - The invention pertains to methods, systems, and apparatus for identifying media items relevant to a selected subject matter, the method comprising determining the subject matter of a first media item, the first media item comprising at least one of audio content and video content, determining the classification within an ontology of the subject matter of the first media item, analyzing the ontology to identify other subject matter related to the subject matter of the first media item, and performing a search for other media items relevant to the subject matter of the first media item as a function of at least the other related subject matter according to the ontology. | 09-11-2014 |
20150331876 | Content Descriptor - An apparatus, method, system and computer-readable medium are provided for generating one or more descriptors that may potentially be associated with content, such as video or a segment of video. In some embodiments, a teaser for the content may be identified based on contextual similarity between words and/or phrases in the segment and one or more other segments, such as a previous segment. In some embodiments, an optical character recognition (OCR) technique may be applied to the content, such as banners or graphics associated with the content in order to generate or identify OCR'd text or characters. The text/characters may serve as a candidate descriptor(s). In some embodiments, one or more strings of characters or words may be compared with (pre-assigned) tags associated with the content, and if it is determined that the one or more strings or words match the tags within a threshold, the one or more strings or words may serve as a candidate descriptor(s). One or more candidate descriptor identification techniques may be combined. | 11-19-2015 |