Hitachi, Ltd.

Hitachi-Kokusai Electric Inc.

Kenichi Yoneji

Daisuke Matsubara

Koichi Hamada

Masahiro Kageyama

Tomoaki Yoshinaga

Yuki Watanabe

Atsushi Hiroike

Nobuo Nukaga

Muneaki Yamaguchi

Tatsuhiko Kagehiro

Naoto Akira

Tsukasa Yamauchi

Yoshitaka Hiramatsu

An image search apparatus including: an accumulation unit that accumulates search target images; an area detector that learns search priority by analyzing first information extracted from a plurality of first areas included in a plurality of the search target images, analyzes second information extracted from a plurality of second areas included in a query image, and detects the second areas, the search priority of which is high, as conspicuous areas by using the second information; and an image search unit that searches for the search target images by using an image feature extracted from the conspicuous areas.

Image search apparatus, system, and method

An image search device searching an image from an image database storing a recorded image, one or more types of feature values, and propagation information that indicates a link between a same type of the feature values of the recorded image, the device acquires a first image and the one or more types of feature values of the first image, records the first image and the feature values in the image database, calculates a propagation intensity indicating similarity or sameness between the types of feature values of the recorded image and the types of feature values of the first image, and includes in the propagation information a link between the types of feature values of the first image and the types of feature values of the recorded image for which the propagation intensity between the types of feature values of the recorded image and the types of feature values of the first image is at a maximum value.

Image search device and method for searching image

A video surveillance system, including motion information from a plurality of surveillance cameras even when the installation conditions of the cameras are different, is equipped with an extraction unit which, upon receiving video images from the plurality of cameras, extracts motion feature quantities from a plurality of frames which constitute the video images, a storage unit for storing extraction results from the extraction unit, a conversion unit for converting the extracted motion feature quantities, and an analysis unit for analyzing the converted motion feature quantities, wherein the conversion unit retains virtual coordinate axes which are different from the coordinate axes of the plurality of cameras and converts the feature quantities by calculating virtual viewpoints on the virtual coordinate axes.

Video surveillance system and video surveillance device

An image search system comprising an video taking unit that takes a video, a search unit that contains a processor and a storage unit and searches for an image contained in the video, an input unit that receives information that is input to the search unit, and a display unit that displays information that is output from the search unit. The storage unit holds information indicating the shapes of trajectories that represent the travel paths of a plurality of moving objects extracted from the video. When information indicating the shape of a trajectory is input from the input unit, the search unit searches the plurality of moving-object trajectories held in the storage unit for trajectories that are similar to the input trajectory shape, and if such a trajectory is found, the search unit displays, on the display unit, images of the moving objects that have traveled along the found trajectories.

Image search system, image search apparatus, and image search method

It is an objective of the present invention to reduce processing loads for video analysis utilizing information throughout the facility. A video monitoring system according to the present invention simulates a flow of a moving object within a video captured by multiple monitoring cameras, calculates a parameter correlated with a processing load for movement analysis of the moving object according to the simulation result, and specifies a processing scheme that is capable of reducing the processing load according to a correspondence relationship between the parameter and the simulation result (refer to FIG.).

Video monitoring system, video monitoring method, and video monitoring system building method

An image monitoring technology for accurately collecting information about a monitoring target is provided. An image monitoring apparatus according to the present invention tracks the monitoring target on the basis of images sent from an overhead camera and images sent from gazing cameras, and switches gazing targets for the gazing cameras on the basis of the position and event information of the monitoring target, and tracking information about the monitoring target.

Image monitoring apparatus, image monitoring system, and image monitoring system configuration method

In order to transfer an image encoded at a high compression rate and suitably increase the resolution of the transferred image, it is provided an image transfer system, comprising: an image transmission unit that transmits an image; and an image reception unit that receives the image transmitted from the image transmission unit. The image transmission unit scales down the image, and transmits the scaled-down image to the image reception unit. The image reception unit calculates an angle between a line displayed in the image transmitted from the image transmission unit and a horizontal direction of the image in correspondence with pixels included in the image, scales up the image transmitted from the image transmission unit, and removes an aliasing component of the scaled-up image based on the calculated angle.

Image transfer system, image transfer method, image reception apparatus, image transmission apparatus, and image pickup apparatus

To perform an image processing for high resolution more suitably on even an image signal having images with different resolutions mixed therein. An image signal processing method of the present invention includes the steps of: performing a spatial low pass filter processing on a first image signal that is an input image; generating a second image signal by performing an image processing for high resolution on an image after the low pass filter processing; comparing corresponding regions in the first image signal and the second image signal; and selecting either of the first image signal and the second image signal with respect to the region based on this comparison result.

Image signal processing apparatus and image signal processing method

The present invention relates to a technology of appropriately improving image resolution. According to an image signal processing method of the present invention, an input video signal contains an image signal whose pixel size is converted at a specified magnification scale. The input image signal is used to calculate sampling frequencies for image signals before and after the pixel size conversion. A ratio of sampling frequencies before and after the pixel size conversion is used to determine the specified magnification scale. A sampling phase for the image signal before the pixel size conversion is calculated from the input image signal after the pixel size conversion. A sampling carrier for the image signal before the pixel size conversion is generated from the sampling frequency and the sampling phase both before the pixel size conversion.

Image signal processing apparatus, image signal processing method and video display apparatus

A video signal processing apparatus, for achieving high resolution, with using a small number of frames, as an input videos signal, comprises: an input unit, into which a video frame is inputted; and a resolution converter unit for obtaining an output video frame by increasing a number of pixels building up the input video frame, wherein the resolution converter unit has a same-brightness direction estimation unit, which is configured to produce a sampling phase difference for each video data, by estimating a same-brightness direction for each video data on the input video frame, and the resolution converter unit conducts a high resolution process of video with using the sampling phase difference, which is produced by the same-brightness direction estimation unit.

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Tokyo, Japan

Kenichi Yoneji