Abstract: An information processing apparatus for extracting a more appropriate representative frame image from moving image data that includes a plurality of frames of image data arranged in a time series includes: an input unit configured to input moving image data; a detecting unit configured to detect a frame image, which includes an image similar to a prescribed image pattern; a tracking unit configured to detect a frame image, which includes an image similar to the image included in the detected frame image; a storage unit configured to store successive frame images that have been detected by the tracking unit; a splitting unit configured to split the moving image data into a plurality of time intervals; and an extracting unit configured to extract a representative frame image using different evaluation rules.

Abstract: A printed material is electrically read, and electrical data of the printed material is input as a reference comparison image. The feature amount of a region to be processed containing a page image contained in the reference comparison image is extracted. A target comparison image corresponding to the reference comparison image is retrieved from a storage medium by using the extracted feature amount. The retrieved image is processed.

Abstract: An image processing apparatus acquires an image; sets a plurality of partial regions for the acquired image, and acquiring an image feature amount including a plurality of frequency components from each of the partial regions; compares the acquired image feature amount with an image feature amount of a background model which holds, for each of the partial regions, an image feature amount of an image as a background; updates, based on the comparison result, each of a plurality of frequency components included in the image feature amount held in the background model using the acquired image feature amount by a degree according to each of the frequency components; and detects, using the background model updated in the updating, for each of the partial regions, a region where a target object to be detected exists.

Abstract: An image processing apparatus includes a calculation unit configured to calculate a difference between a feature quantity of input video data and a feature quantity of a model representing a background, a determination unit configured to determine whether a partial area in the input video data is a foreground or a background based on the difference, a detection unit configured to detect a subject area from an area determined to be a foreground, a first update unit configured to update appearance information that represents an appearance state of a background relating to the subject area, and a second update unit configured to update the model based on the appearance information.

Abstract: For multiple moving-image recorded on a storage medium, one piece of meta-data or each of multiple pieces of meta-data recorded for a part or all of the moving-image is managed by meta-data indices. A meta-data index keeps invalidity information indicating whether a piece of meta-data is going to be invalid and validity information indicating validity of the current piece of meta-data in the same form, when operations such as editing and processing are performed on a part or all of a moving-image that is an object of a piece of meta-data. When cutting-out occurs on a section of a moving-image that is an object of a piece of meta-data and the piece of meta-data cannot be recalculated, the invalidity information is copied to the validity information. In this manner, a meta-data added to the moving-image can be adapted and be used after the moving-image is edited.

Abstract: Provided is an image processing apparatus that judges an in-focus degree of a motion picture related to a motion picture signal based on control information inputted along with the motion picture signal and related to an operation of photographing the motion picture signal. The image processing apparatus then changes a form in which an image related to the motion picture signal is displayed or printed, in accordance with a result of the judgment.

Abstract: An information processing apparatus comprises: an object detection unit to detect an object included in a frame image based on a feature amount of the frame image, and generate and output object information concerning the detected object; an event detection unit to detect an event of the object based on the object information output by the object detection unit, and generate and output event concern information concerning the detected event of the object; and a transmission unit to transmit the frame image, the event concern information, concerning the frame image, output by the event detection unit, and time information concerning the frame image, as associating them with others. Thus, even in a case where event detection timing and event occurrence timing are different from each other, it is possible to perform a display by which a user can easily confirm the event.

Abstract: Printed material is electronically read, and electronic data of that printed material is input as a comparison source image. From the comparison source image, a plurality of partial regions are extracted. Layout comparison between partial regions of the comparison source image and a comparison destination image stored in a storage unit is executed under a condition in which the positional deviation amount in the center of gravity direction of an image is looser than those in other directions.

Abstract: An object recognition apparatus recognizes an object from video data for a predetermined time period generated by a camera, analyzes the recognition result, and determines a minimum size and moving speed of faces of the video image recognized from the received frame image. Then, the object recognition apparatus determines a lower limit value of a frame rate and resolution from the determined minimum size and moving speed of the faces.

Abstract: An image processing apparatus includes a moving image input unit configured to input a moving image, an object likelihood information storage unit configured to store object likelihood information in association with a corresponding position in an image for each object size in each frame included in the moving image, a determination unit configured to determine a pattern clipping position where a pattern is clipped out based on the object likelihood information stored in the object likelihood information storage unit, and an object detection unit configured to detect an object in an image based on the object likelihood information of the pattern clipped out at the pattern clipping position determined by the determination unit.

Abstract: An image processing method of reproducing already stored moving image data while storing moving image data currently input. Input moving image data is stored in a moving image storage unit, and scene feature information of each of a plurality of scenes constituting the moving image data stored in the moving image data storage unit is extracted. In accordance with the extracted scene feature information, digest data for reproducing a digest of the moving image data is formed. In accordance with the formed digest data, a digest of the moving image data stored in the moving image data storage unit is reproduced.

Abstract: An image processing apparatus includes a photographing unit configured to generate a plurality of images by photographing a plurality of times a range which can be photographed, an object detection unit configured to detect a specified object from each of the plurality of images generated by the photographing unit, a position determination unit configured to determine an existing position of the specified object based on a detection result of the specified object in the plurality of images, and a range determination unit configured to determine a photographing range to be photographed within the range which can be photographed based on the existing position of the specified object determined by the position determination unit.

Abstract: Even if a margin area, which did not exist in an original image, is present around a document area in a document acquired by printing the original image, an accurate layout comparison between the scanned image of the printed document and the original image can be performed as follows. An original image serving as a comparison target image is input, and block information about a block included in the original image is extracted. It is determined whether the size of the original image is a predetermined size. When the size is not a predetermined size, block information about the block included in the original image mapped to a predetermined size is created and registered. When a comparison source image is input, block information about a block included in the comparison source image is extracted. Subsequently, two pieces of the block information of the comparison source and target images are compared.

Abstract: Distances between a query image and registered images are calculated for respective feature amounts, and weight values for the calculated distances are calculated on the basis of statistical amount of the feature amounts of the query image (S507). Similarities between the registered images and query image are calculated on the basis of the results obtained by weighting the distances for respective feature amounts by the calculated weight values (S508). Images similar to the query image are displayed as a list on the basis of the calculated similarities (S510).

Abstract: An information processing apparatus for extracting a more appropriate representative frame image from moving image data that includes a plurality of frames of image data arranged in a time series includes: an input unit configured to input moving image data; a detecting unit configured to detect a frame image, which includes an image similar to a prescribed image pattern; a tracking unit configured to detect a frame image, which includes an image similar to the image included in the detected frame image; a storage unit configured to store the successive frame images in association with time information; a splitting unit configured to split the moving image data into a plurality of time intervals with starting time and end time of each of one or more image sequences; and an extracting unit configured to extract a representative frame image.

Abstract: An information processing apparatus for extracting a more appropriate representative frame image from moving image data that includes a plurality of frames of image data arranged in a time series includes: an input unit configured to input moving image data; a detecting unit configured to detect a frame image, which includes an image similar to a prescribed image pattern; a tracking unit configured to detect a frame image, which includes an image similar to the image included in the detected frame image; a storage unit configured to store successive frame images that have been detected by the tracking unit; a splitting unit configured to split the moving image data into a plurality of time intervals; and an extracting unit configured to extract a representative frame image using different evaluation rules.

Abstract: A pedestrian navigation system, an information delivery server, and a program for naturally guiding (such as speech-guiding) the user of a portable terminal at an intersection are disclosed. An information delivery server includes a map database containing data such as nodes including paths constituting intersections, links, and costs of the links, a path seeking section, an intersection path judging section for detecting a path passing through an intersection from guidance paths which the path seeking section has sought, a guidance point determining section which determines a guidance point for path guidance, a guidance data creating section which determines a guidance pattern of path guidance according to the guidance point, and a data delivering section for delivering map data, guidance path data, and guidance data to a portable terminal. The guidance point determining section selects a specific node out of all the nodes constituting intersections as a guidance point.

Abstract: When the edge magnitude of an image-block of interest is larger than both that of the image-block of interest after movement and that of an image-block which neighbors the image-block of interest in the moving direction (S7110, S7120), the edge magnitude and direction of the image-block of interest are updated to those of the image-block of interest after movement (step S7130).

Abstract: A face image is detected for each frame at a predetermined interval in moving image data, and the face image is traced using a frame in which the face image is detected and frames subsequent to the frame. A face sequence including an interval in which the face can be traced and motion velocity vectors of the face indicating a change in the position of the face image in the interval is generated based on the tracing result. Further, camera operation information about when the moving image data is acquired is generated from the frame image of the moving image data. When there is an overlap in the plurality of intervals in which the face images are traced, the face being tracked by the camera is determined using the face sequence and the camera operation information of each of the plurality of face images. The face determined to be tracked is then determined to be a key object.

Abstract: From an already registered image data group, image data similar to image data input as a query are retrieved (S3190). When image quality of one of the retrieved image data is lower than that of the input image data, the input image data is registered in place of the one image data (S3163).