Ricoh Company, Ltd.

Jichuan Zheng

Ganmei You

Yaojie Lu

Guanglei Zhang

Lijun Zhao

Bin Dong

Yixuan Tong

DaFei Shi

Yueyan Yin

Shanshan Jiang

Jiashi Zhang

Xinping Bao

User behavior analysis method and device are disclosed. The method comprises: obtaining a behavior record of users regarding commodities; acquiring, by determining a commodity feature vector in a predetermined commodity feature space of each of the commodities, a commodity feature matrix consisting of the commodity feature vectors of the commodities; for each of the users, calculating, based on a sub behavior record of the corresponding user regarding each of the commodities, a preference score of the corresponding user regarding each of the commodities, so as to get a score matrix composed of the preference scores of the users regarding the commodities; and for each of the users, determining, based on a regularized least squares based solution of a difference function of the score matrix and a prediction matrix, a user feature vector of the corresponding user in its related predetermined commodity feature space.

User behavior analysis method and device as well as non-transitory computer-readable medium

A method, an apparatus and a system for recognizing an evaluation element are provided. The method includes receiving an input text; performing, using a first conditional random field model, first recognition for the input text to obtain a first recognition result, the first recognition result including a pre-evaluation element that is recognized by using the first conditional random field model; performing, using a second conditional random field model, second recognition for the input text to obtain a second recognition result, the second recognition result including a false positive evaluation element that is recognized by using the second conditional random field model, the false positive evaluation element being an element erroneously detected as an evaluation element; and recognizing, based on the first recognition result and the second recognition result, an evaluation element in the input text.

Evaluation element recognition method, evaluation element recognition apparatus, and evaluation element recognition system

Disclosed are an intelligent illumination control method, apparatus, and system. The method includes a step of obtaining at least one image of a predetermined lighting area captured by at least one stereo camera; a step of determining, based on the at least one image, one or more target illuminance values of the predetermined lighting area; and a step of determining, based on the one or more target illuminance values, a dimming level of at least one illumination apparatus so that the at least one illumination apparatus works according to the determined dimming level.

Intelligent illumination control method, apparatus, and system

Disclosed are a road line detection method and a road line detection device. The road line detection method comprises a step of obtaining a first disparity map including one or more road regions and a corresponding V-disparity image; a step of sequentially detecting plural sloped line segments in the corresponding V-disparity image according to a big-to-small order of disparities and a big-to-small order of V-values, to serve as plural sequentially adjacent road surfaces; a step of obtaining a second disparity map of plural road line regions of interest corresponding to the plural sloped line segments; and a step of detecting one or more road lines in the second disparity map of the plural road line regions of interest.

Method and device for detecting road region as well as method and device for detecting road line

A method and an apparatus are used for detecting a road partition, the method comprising: a step of obtaining a disparity top view having a road area; and a step of detecting parallel lines as the road partitions from the disparity top view.

Method and apparatus for detecting road partition

A lighting control method for use in a lighting control system is disclosed. The lighting control method includes acquiring an influence coefficient of each of lighting devices on at least one local device based on a measured amount of invisible beams and a measured amount of visible light, the influence coefficient representing an influence level of each of the lighting devices on the local device; and acquiring a dimmer level of each of visible light sources based on a corresponding one of the influence coefficients to control the amount of the visible light measured at a position of the local device such that the measured amount of the visible light reaches or approaches a target lighting amount of the local device.

Lighting device, local device, lighting control system, and lighting control method

Disclosed are a method and a system for detecting an object on a road. The method comprises a step of simultaneously capturing two depth maps, and then calculating a disparity map; a step of obtaining, based on the disparity map, a V-disparity image by adopting a V-disparity algorithm; a step of detecting an oblique line in the V-disparity image, and then removing points in the disparity map, corresponding to the oblique line so as to acquire a sub-disparity map excluding the road; a step of detecting plural vertical lines in the V-disparity image, and then extracting, for each of the plural vertical lines, points corresponding to this vertical line from the sub-disparity map as an object sub-disparity map corresponding to this vertical line; and a step of merging any two rectangular areas of the object sub-disparity maps approaching each other, into a rectangular object area.

Method and system for detecting object on a road

Disclosed are a speech retrieval apparatus and a speech retrieval method for searching, in a speech database, for an audio file matching an input search term by using an acoustic model serialization code, a phonemic code, a sub-word unit, and a speech recognition result of speech. The speech retrieval apparatus comprises a first conversion device, a first division device, a first speech retrieval unit creation device, a second conversion device, a second division device, a second speech retrieval unit creation device, and a matching device. The speech retrieval method comprises a first conversion step, a first division step, a first speech retrieval unit creation step, a second conversion step, a second division step, a second speech retrieval unit creation step, and a matching step.

Speech retrieval apparatus and speech retrieval method

Disclosed are a speech retrieval apparatus and a speech retrieval method for searching, in an audio file database, for one or more target audio files by using one or more input search terms. The speech retrieval apparatus comprises a related document obtaining unit configured to search, in a related document database where documents related to audio files in the audio file database are stored, for one or more related documents by using the search terms; a correspondence audio file obtaining unit configured to search, in the audio file database, for one or more correspondence audio files corresponding to the obtained related documents; and a speech-to-speech search unit configured to search, in the audio file database, for the target audio files by using the obtained correspondence audio files.

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Beijing, China

Jichuan Zheng