Hitachi, Ltd.

Hitachi Consulting Co., Ltd.

Yasuyuki Oki

Masaru Igawa

Masaki Hirayama

Sayuri Uehara

Masao Shiraishi

Provided is an information processor which detects factors, in a video, influencing health, and which includes: an image input unit which receives a series of image data to process a plurality of consecutive still images constituting the video; a feature-quantity calculation unit which calculates a feature quantity of each still images on the basis of the image data; a conditional-expression storing unit which stores a conditional expression, for each factor, to determine whether each of the still images produces the factor on the basis of the corresponding feature quantity; a factor determination unit which determines, for each factor, whether each of the still images produces the factors on the basis of the corresponding feature quantity and the corresponding conditional expression; and an image-list display unit which displays, for each factor, a list of information indicating the still images determined to produce the factor.

Information processor, method of detecting factor influencing health, and program

A media recognition system comprises an object management space, an object processing module and a media object space for storing media objects generated by object processing, wherein a pattern definition list stored in the object management space includes a plurality of action statements defining script programs to be executed in association with pattern formulas which designate the attributes of objects. The object processing module generates a new media object having different attributes by executing media processing corresponding to the input media object based on the pattern definition list, and repeats recursive media processing on the generated media object as the new input media object in accordance with the pattern definition list.

Media recognition system

It is an object of the present invention to detect an image correction method from corrected images, in order to grasp a correction method of a correctly corrected images as a guideline for correction of a harmful image, and to present an image correction proposal to which a correction method in the past is applied, in order to indicate to a corrector a guideline for correction of the harmful image. In order to achieve the above-described objective, the present invention employs the following configuration. With respect to a harmful image data before correction and an image data after correction, a scene feature quantity representing the feature quantity of a scene for each scene of a video is calculated, and by comparing chronological lists of the respective scene feature quantities of the videos, a correction method for the scene configuration is detected.

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Yokohama, Japan

Yasuyuki Oki