136 results about "Candidate key" patented technology

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 present invention discloses a method used by an Authenticator of a wireless LAN. The Authenticator is capable of communicating wirelessly with a Supplicant of the wireless LAN. The Authenticator holds a plurality of candidate keys whereas the Supplicant holds one key. The key held by the Supplicant is included in the plurality of candidate keys held by the Authenticator. The method includes determining which one of the plurality of candidate keys is the key held by the Supplicant and communicating with the Supplicant wirelessly according to the determined key held by the Supplicant.

A digital wallet stores an cryptographically camouflaged access-controlled datum, e.g., a private key encrypted under the user's PIN. Entry of the correct PIN will correctly decrypt the stored key. Entry of certain pseudo-valid PINs will also decrypt the stored key, but improperly so, resulting in a candidate key indistinguishable from the correct key. Such pseudo-valid PINs are spread thinly over the space of PINs, so that the user is unlikely to realize a pseudo-valid PIN via a typographical error in entering the correct PIN. In existing wallet technologies, which lack pseudo-valid PINs, only the correct PIN produces a decrypted key; thus, hackers can find the correct PIN by entering all possible PINs until a key is produced. The present invention's plurality of candidate keys prevent a hacker from knowing when he has found the correct key. In addition, hacker detection may be moved off-line into devices accepting messages signed with candidate keys, and/or the lockout threshold may be increased. Thus, the wallet can be forgiving of typographic or transposition errors, yet a hacker trying large numbers of PINs will eventually guess a pseudo-valid (but still incorrect) PIN and recover a candidate private key whose fraudulent use will be detected. The wallet may be used with associated key generation, certification, and verification technologies. Such technologies may include pseudo-public keys embedded in pseudo-public certificates, i.e., public keys that are not generally known and which are contained in certificates that are verifiable only by entities so authorized by the certifying authority.

The invention discloses a character input method for an all-purpose keyboard, which comprises the following steps of: responding the clicking input for a key by a user, and generating and recording the key value of the key and the coordinate of a clicking point; computing the keying probability of all candidate keys according to the key value and the coordinate, and determining a keying sequence, wherein the candidate keys comprise a clicked key and a plurality of character or number keys adjacent to the clicked key; searching the word frequency of a word corresponding to each key value in the keying sequence; carrying out weighing computation for the keying probability of each key value and the word frequency of the word corresponding to the key value in the keying sequence; and sequencing the weighing computation results of all words so as to obtain a candidate word sequence. The invention also discloses a character input processing device which comprises a receiving unit, a probability computing unit, a word frequency inquiry unit and a weighing computation unit. The invention comprehensively considers the word frequencies of the words and further improves the input speed.

The invention discloses a voice abstract forming method and a voice abstract forming system for a conference, and relates to the field of voice recognition. According to the invention, the speaking position, the identity information, the personnel data and other information of a speaker in a conference are analyzed, and then the weight coefficient of the speaker is determined. As a result, candidate key speaking segments corresponding to different speakers can be obtained by using different preset strategies according to the weight coefficients of speakers. Furthermore, according to the characteristics of the speaking content, for example, the large-probability interval of the important content of the utterance on a speaking time axis, key transitional words and key connection words in theimportant content of statements, and the like, a set of candidate key speaking segments is intercepted. The intercepted set of candidate key speaking segments is processed and then a set of audio/video segments for forming a voice abstract is obtained. As a result, more content is extracted from important statements, while less content is extracted from non-important statements. The content of afinally formed abstract is more reasonable. The more effective help is provided for users.

The embodiment of the invention provides an input method adopting a keyboard to input content and an input device. The input method comprises the following steps: input position information input for several times are obtained; candidate keys are selected according to the input position information, and characters corresponding to the candidate keys are used as input characters; input language type information can be obtained, several groups of input characters obtained by several input are combined according to the input language type information; selective information is obtained, and the selected content is determined in the combined result according to the selective information. The input method and the input device solve the misinput problem of the input manner of the prior touch keyboard and the prior mechanical keyboard, and improve the input efficiency and the input accuracy on the premise of more according with the use habit of a user.

The invention discloses a method and device for automatic detection of microblog hot topics, relating to the technical field of internet. According to the invention, key words are extracted from a to-be-detected microblog text, then key terms are acquired, next, the key terms are clustered, so that candidate key word clusters are obtained; finally, the concern degree of the topic corresponding to each candidate key word cluster is computed, and the hot topics are selected according to the concern degrees. Through adoption of the method and device, hot topic detection becomes simple and the hot topics can be detected effectively.

The invention discloses equipment and a method for detecting a key word in continuous speech. The equipment comprises an input device, an identification device, a prosodic feature extraction device, a prosodic word boundary determination device, a confidence adjustment device, a judgment device and an output device, wherein the input device is used for inputting the continuous speech; the identification device is used for identifying a candidate key word from the continuous speech, giving out corresponding confidence, and identifying filling sounds included in the continuous speech; the prosodic feature extraction device is used for extracting prosodic features related with adjacent specific filling sounds; the prosodic word boundary determination device is used for determining the boundary between the adjacent specific filling sounds to be the probability of the prosodic word boundary according the prosodic features; the confidence adjustment device is used for adjusting the confidence of the candidate key word according to the boundary which is between the adjacent specific filling sounds included in a speech segment corresponding to the candidate key word and serves as the probability of the prosodic word boundary; the judgment device is used for judging whether the adjusted confidence of the candidate key word is higher than a preset threshold value; and the output device is used for outputting the candidate key word which has the adjusted confidence higher than the preset threshold value and serves as the key words.

The invention discloses a language-irrelevant key word recognition method and system. The method includes the steps of receiving a voice signal to be detected, decoding the voice signal according to a pre-constructed decoding network to obtain candidate key words, evaluating confidence coefficients of the candidate key words in different modes, fusing the confidence coefficient evaluation results in different modes to obtain the effective confidence coefficients of the candidate key words, and determining the output key words according to the effective confidence coefficients.

A method for protecting the transfer and storage of data by encryption using a private key encrypted with a first key encrypting key, which is encrypted using a second key encrypting key. This latter key is encrypted using a hashed passphrase value, obtained by hashing a passphrase known only to the authorized user. Upon receipt of a request initiated by the user by entering a passphrase, a first hashed passphrase is transferred to a first data processing system, where it is compared with a predefined hash string. If they match, the first data processing system transfers to a second data processing system the encrypted second key encrypting key. A candidate key is obtained by decrypting the encrypted second key encrypting key using a second hashed passphrase. Upon successful validation of the candidate key, the passphrase is verified and the user is authenticated. After the user has been authenticated, the first data processing system transmits to the second data processing system the encrypted private key and the encrypted data. The second processing system then decrypts the encrypted first key encrypting key using the second key encrypting key, decrypts the encrypted private key using the first key encrypting key and finally decrypts the data using the private key.

The invention discloses an automatic key frame extraction method of the human sport data. On the data representation, it uses the separation angle of the human limbs bones and central bones as the sports characterization, and tokens the three-dimensional human sport data. Then, it makes the possible existing ''border'' posture to be a candidate key frame set when determining the movement according to the sport track of the angle between bones. Finally, it selects the candidate key frame to get the final key frame set by layered curve reduced algorithm. Meanwhile, the invention also proposed an adaptive mistake parameter adjustment method to meet the requirements of different compression rate. The method has good effects of key frame extraction and compression to human sport data, and guarantees the consistency in the similar sport key frame set to some extent.

In a mobile telephone (10) with a virtual keyboard and a touch screen (12), with individual virtual keys (22) having their own representative positions. During a selection operation to select a key (22), where the touch screen is touched becomes the selected position. The distance between the selected position and adjacent representative positions is used to decide a first set of candidate keys. These candidate keys are then used to provide a set of potential words that would result from the input of any one of those keys. A list of candidate words is then produced and displayed on a display area (26) based on the frequency of use of the words in the set of potential words and the distances between the selected position and the representative position of the keys (22). Once a key (22) is confirmed as having been selected, the offset between the selected position and the representative position of that key is used to re-calibrate that representative position.

The invention discloses a positioning method, device and system in an indoor environment, relates to the technical field of positioning and has the main purpose of realizing the precise positioning inthe indoor environment. The main technical scheme provided by the invention comprises the steps of receiving current indoor image information sent by a mobile terminal and extracting visual featuresin the current indoor image information; matching the visual features with key frames in an offline map database, and determining candidate key frames similar to the visual features; and determining poses corresponding to the candidate key frames, converting the poses into coordinate values, and sending the coordinate values to the mobile terminal.

The present invention discloses an entity linkage algorithm based on a graph model. The entity linkage algorithm based on a graph model is characterized by comprising: forming a candidate entity by using the Wikipedia knowledge base; constructing a semantic feature between the entities by using LDA; constructing relationships between entities based on linkage structures of Wikipedia to form a graph model; and integrating related semantic features into the graph model; and ranking the entities by using the PageRank algorithm to obtain an entity linkage result, which specifically comprises steps of calculation and integration of a naming dictionary, a candidate entity set, related features, construction of the graph model, and ranking of candidate entities. Compared with the prior art, the entity linkage algorithm based on a graph model has the advantages of being good in entity feature integration and high in reliability of the entity linkage result; data is downloaded by using Wikipedia, so that no additional costs are needed, and especially data sets do not need to be noted manually; and the method is simple, convenient in usage, and saves time and efforts.

The invention discloses a function-level code vulnerability detection method based on slice attribute graph representation learning, and the method comprises the steps: firstly introducing a new slice criterion, proposing the concept of a slice attribute graph, and generating a slice attribute graph of a code based on the slice criterion and a program slice technology; extracting graph structure information, node attribute information and code context information which have a dependency relationship with the vulnerability candidate key points; then, performing representation learning on the slice attribute graph by utilizing a relation graph convolutional neural network and combining a dual attention mechanism based on nodes and sub-graphs so as to learn a more comprehensive and accurate vulnerability mode; and finally, fusing the vulnerability identification results of the slice attribute graphs to realize function-level vulnerability detection, and determining a set of vulnerability candidate statements and grammatical elements associated with vulnerabilities. More vulnerability candidate key points can be covered, structures, attributes and context information related to vulnerabilities are fully learned and expressed, and the vulnerability detection accuracy is improved.

The invention discloses a conference intelligent management method and system, and relates to the field of intelligent management. The method, by the distinguishing user roles and user authorities, changes a reservation result of a reserved conference room in different ways, facilitates the management of the conference and coordinates the emergency situations; determines, by analyzing the speakingposition, the identity information, and personal information of a speaker in the conference, the weight coefficient of the speaker so as to obtain candidate key speech segments corresponding to different speakers according to the weight coefficients by using different preset strategies, and further intercept a candidate key speech segment set according to the characteristics of the speech content, processes the intercepted candidate key speech segment set to obtain the audio/video segment set forming a speech abstract, extracts more content for important speech, extracts relatively less content for unimportant speech, and finally forms the reasonable abstract content and provides users with effective help.

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.

The method of extracting popular songs' key section is used in the music audition and belongs to the field of music signal analysis. It adopts the music signal of the WAV format with its sampling rate of 11025Hz and quantizing digit of 8 as the object, divides the music data stream into a series of frequency segments with fixed length, extracts the short time energy of every segment, groups the frequency segments in according to the time, counts the threshold value of the short time energy crossing the response curve, binarizates it, extracts the candidate key sections on the basis, puts the candidate key sections with appropriate length into the muster and finally chooses the highest average short time energy in the muster as the final popular songs' key section. Dealing with the 5-minute popular song in the Pentium IV 1,500M HZ CPU machine only needs 470 milliseconds. Except for the time of reading the data, the execution time only is 90 milliseconds, which realizes the aim to extract the key sections online and real time.