摘要:
One provides (101) a media source bundle (200) as pertains to a given subject matter of interest to at least one end user. This media source bundle can comprise, for example and at least in part, content source locations for each of a plurality of independent content sources that each offer content regarding the given subject matter and wherein at least some of these independent content sources are associated with mutually non-compatible electronic content-delivery modalities. (In such an application, the media source bundle will be understood to not comprise the content itself.) These teachings will then provide for transmitting (102) a message that comprises, at least in part, this media source bundle to one or more corresponding end user recipient platforms (303).
摘要:
An object detection algorithm that generates a two-layer Gaussian Mixture Model (GMM) during a training session, and subsequent to the training session, uses the two-layer GMM to perform face detection. No labeling of local features is needed. The only input that is provided by a user is the setting of a few global parameters for the image being captured during the training session, such as, for example, the person's facial pose.
摘要:
A processor (10) utilizes information regarding one or more physical dimensions of an individual (14) to better inform a personal identification process. In one embodiment, the measured physical dimensions are utilized to influence the conduct of a face recognition process. In one embodiment, a Bayesian Belief Network can be utilized to facilitate such processes.
摘要:
A network element of choice receives (101) information and uses (102) that information to develop a content search query. That network element then instigates (103) a content search using the content search query and receives (104), in turn, content search results comprising a plurality of content items. Profile information for a plurality of playback platforms is then accessed (105) and used (106) to identify which of the content items are best played back on particular ones of the playback platforms.
摘要:
Meta-data retrieved externally is determined to be relevant to the creation of an electronic programming guide (EPG) or relevant to a user's preferred programs. The meta-data is stored locally if it is determined that it is relevant to the creation of the EPG or if it is relevant to the user's preferred programs. All other meta-data is discarded. When a user requests meta-data, an attempt is made to retrieve the data from a local database, and if the attempt fails, then the meta-data is obtained from an external source.
摘要:
An audio-visual content service provider processor (201) receives (101) audio-visual content (302) from at least a first content provider (203), which audio-visual content is to be distributed to end users (205) of the audio-visual content service provider processor. That audio-visual content service provider processor then facilitates distribution (102) of the audio-visual content to the end users (pursuant, for example, to a corresponding broadcast schedule (304)). This audio-visual content service provider processor also, however, locally records (104) the audio-visual content, in the absence of any corresponding specific requests from the end users, to thereby hold a recorded version of the audio-visual content for subsequent re-broadcasting to the end users.
摘要:
At least one visual significance metric is determined (12) for at least some frames belonging to an original series of frames (11). Key frames are identified (13) as a function, at least in part, of the visual significance metric. Cumulative visual significance values are then determined (14) for at least some of the frames that intervene between each pair of key frames. These cumulative visual significance values are then used to identify (15) frames of additional content interest. Various frames are then selected (16) for use in a visual summary. In one embodiment, all of the key frames and frames of additional content interest are selected for inclusion in the visual summary.
摘要:
Disclosed is a method of operating a secondary device in a manner associated with operation of a primary device including obtaining first information corresponding to a media asset being output by the primary device, processing the first information to determine local media-signature information, transmitting the first information for receipt by a server, receiving secondary information from the server, wherein the secondary information includes a plurality of asset-media signatures that respectively correspond to respective portions of the media asset, attempting to determine a time-based correlation between at least one portion of the local media-signature information and at least one of the asset-media signatures, and outputting one or more portions of time-relevant asset streams from the secondary device, the one or more portions being determined at least indirectly based upon the correlation.
摘要:
A method and apparatus for performing a predictive motion search in a video encoder system using motion vectors representing the difference in coordinates of a macroblock of data in a current frame of video data and coordinates of a related macroblock of data in a reference frame of video data. A plurality of motion vector predictors is obtained where the motion vector predictors represent approximations of possible motion vectors for a current macroblock. A search pattern is defined. Each motion vector predictor of the plurality of motion vector predictors is searched around using the search pattern. A final motion vector is then determined.
摘要:
A method and apparatus for determining if a first video segment matches a second video segment is provided herein. Each video segment to be compared has an associated metric (HR), which is a function over time as the conditional entropy between frame fk and previous frame fk−1. A comparison of each video segment's HR vectors determines if the video segments match.
摘要翻译:本文提供了一种用于确定第一视频片段是否匹配第二视频片段的方法和装置。 要比较的每个视频片段具有相关联的度量(H SUB R),其作为随时间推移的函数,作为帧f k k和先前帧f N之间的条件熵, k-1 SUB>。 每个视频片段的H SUB矢量的比较确定视频片段是否匹配。