137 results about "Candidate key" patented technology

Metadata for a programming event may be generated by receiving descriptive information and timing information for the programming event and analyzing this information to determine category goodness of fit scores for the programming event corresponding to categories of a classification hierarchy. The information is further analyzed to determine keywords associated with the programming event. The category goodness of fit scores and keywords may be stored along with time data and descriptive data for the programming event as metadata for the programming event. Goodness of fit scores may also be generated for the keywords. Related embodiments may pertain to a device implementing such processing. Keyword metadata may be generated using candidate keywords taken from descriptive data associated with the programming event. The candidate key words may be provided individually as inputs to a classification tool configured to generate goodness of fit scores for categories of a classification hierarchy. Keywords may then be selected from among the candidates based on their individual scores, and stored as part of the metadata for the programming event. The scores of the keywords may be stored in association with the keywords.

The invention provides a human body posture identification method based on multi-characteristic fusion of a key frame, comprising the following steps of: (1) extracting Hu invariant moment characteristics from a video image; calculating a covering rate of an image sequence; extracting the highest covering percentage of the covering rate as a candidate key frame; then calculating a distortion rate of the candidate key frame and extracting the minimum distortion percentage as the key frame; (2) carrying out extraction of a foreground image on the key frame to obtain the foreground image of a moving human body; (3) extracting characteristic information of the key frame, wherein the characteristic information comprises a six-planet model, a six-planet angle and eccentricity; obtaining a multi-characteristic fused image characteristic vector; and (4) utilizing a one-to-one trained classification model, wherein the classification model is a posture classifier based on an SVM (Secure Virtual Machine); and identifying a posture. The human body posture identification method has the advantages of simplified calculation, good stability and good robustness.

Texts including required message are entered with a small number of keys such as those of a cellular telephone. In this case, a conversion table is unnecessary and the number of key operations is reduced. The number of input characters or input character strings composed by sequentially selecting one from a plurality of alphabets distributed to sequentially entered keys is relevant to the number of operation keys (N) raised to the number of distributed character (M) power (=NM) including meaningless characters or character strings and, with respect to these, character conversion is executed by referring to a dictionary means, through the operation of the conversion / next candidate key. The dictionary means stores numeric strings and words of meaningful characters or character strings among the said characters and character strings.

An apparatus for providing an estimate for a 3D camera pose relative to a scene from 2D image data of 2D image frame provided by said camera. A candidate 2D key points detector determines candidate 2D key points from the 2D image frame. A detected 3D observations detector determines detected 3D observations from pre-recorded scene data and the candidate 2D key points. A detected 3D camera pose estimator determines a detected 3D camera pose estimate from the camera data, the detected 3D observations and the candidate 2D key points. A first storage stores the detected 2D candidate key points and the 2D image data, and outputs in response to a 3D camera pose estimate output previous 2D image data and candidate 2D key points related to a previous 3D camera pose estimate output. A second storage stores and outputs a previous 3D camera pose estimate. A tracked 3D observations detector determines tracked 3D observations from the 2D image data, the candidate 2D key points, the camera data, the previous 2D image data and candidate 2D key points, the previous 3D camera pose estimate and 3D scene model data. A pose estimate selector outputs a selected one of the detected camera pose estimate and the previous 3D camera pose estimate. A 3D camera pose estimator computes and outputs the 3D camera pose estimate from the camera data, the detected 3D observations, the tracked 3D observations and the selected 3D camera pose estimate.

The invention discloses an advertisement delivery method used for candidate keywords, which comprises the following steps: extracting at least one candidate keyword and performing the advertisement and topical computation; confirming weight values of advertisement subjects of the candidate keywords through the computation according to the advertisement and topical computation results obtained in the computation manner, and selecting the candidate keywords for advertisement delivery. The invention further provides an advertisement delivery device used for the candidate keywords. By adopting the technical scheme of the invention, the invention can solve the problem of conflict between the priority of keywords and the priority of advertising words, and the advertisement delivery accuracy is enhanced.