Abstract: A image processing apparatus extracts a plurality of feature points, comprising a local feature amount, from an inputted image, and a region information that relates to the feature point, identifies at least one of the plurality of feature points, associates the feature point thus identified with a feature point with a high relational degree between the feature point thus identified and a region that is denoted by the region information of the feature point thus identified, and registers the feature point thus identified and associated as an index of the inputted image.

Abstract: An image retrieval apparatus includes a designation unit configured to designate a query area of an image based on a user's designation operation, a display unit configured to display an area where a local feature amount is difficult to be extracted in the query area designated by the designation unit as a feature non-extractable area, and a retrieval unit configured to retrieve, based on a local feature amount extracted from an area which is not displayed as the feature non-extractable area in the query area by the display unit, image feature data with which a local feature amount and the image are associated and which is stored in a storage device.

Abstract: An image processing apparatus executes smoothing processing (reduction conversion) of an input image to acquire a smoothed image (reduced image), acquires a normalization parameter for normalization from the smoothed image, and normalizes pixel values of the input image based on the normalization parameter.

Abstract: An image search apparatus, which determines a similarity between an input query image and a registered comparison destination image and searches an image similar to the query image, extracts a plurality of corresponding pairs of feature points in two images based on feature points selected from the both images. A coordinate transformation coefficient to execute a coordinate transformation process is decided so that coordinates of the feature point of one of the two images match coordinates of the feature point of the other image, in relation to each pair. Only if an amount of transformation of coordinates satisfies the constraint conditions designated in advance, the coordinate transformation process using the coordinate transformation coefficient is executed in relation to the plurality of pairs of feature points, and coordinates of the feature points after the transformation of one image are compared with coordinates of the corresponding feature points of the other image.

Abstract: An image retrieval apparatus includes a designation unit configured to designate a query area of an image based on a user's designation operation, a display unit configured to display an area where a local feature amount is difficult to be extracted in the query area designated by the designation unit as a feature non-extractable area, and a retrieval unit configured to retrieve, based on a local feature amount extracted from an area which is not displayed as the feature non-extractable area in the query area by the display unit, image feature data with which a local feature amount and the image are associated and which is stored in a storage device.

Abstract: An image processing apparatus extends the edge portion of an image in a prescribed range, detects, from the image, a plurality of feature points that each indicate a setting position of a local region, sets a local region corresponding to each of the feature points in the image on which region extension has been performed, and calculates a local feature amount corresponding to each feature point based on image information in the local region.

Abstract: An image processing method performs reduction processing on an input image to acquire a reduced image, extracts a feature point from a group of images including the input image and one or more of the reduced images, determines as a matched feature point the feature point extracted from a matching position in each of two or more images in the group of images, calculates a local feature quantity of the matched feature point determined by the determination unit, and registers the calculated local feature quantity as a local feature quantity of the input image.

Abstract: An image search apparatus extracts a symmetric partial image based on acquired pairs of feature points, and divides the partial image at a symmetry axis of the partial image to decide two partial areas, as a first area and a second area based on the tendency of image features in the partial image. In determining the similarity between the query image and a comparison destination image, a coordinate transformation coefficient for a coordinate transformation process is set based on pairs of feature points extracted from the partial area decided as the first area of the two images, the coordinate transformation process using the coordinate transformation coefficient is applied to the pairs of feature points extracted from areas including areas other than the first area of the two images, and coordinates of the pairs of feature points after the coordinate transformation process are compared.

Abstract: An image processing apparatus reduces two input images to be compared by the predetermined number of times to generate two image groups, extracts a plurality of feature points and a local feature amount of each feature point from these image groups, and determines a combination of feature points in which local feature amounts are similar to each other, between the image groups. Then, the image processing apparatus determines a relation of a reasonable combination, assigns high weights to the reasonable combination, and calculates a similarity degree between the two input images.

Abstract: An image processing apparatus includes an extraction unit configured to extract a feature amount from information recorded on a recording medium, an acquisition unit configured to acquire an identification image identifying an operator of the recording apparatus, a storage unit configured to store the feature amount and the identification image, wherein the identification image is associated with the feature amount, a search unit configured to compare a feature amount extracted from a predetermined medium by the extraction unit with the feature amount stored in the storage unit, wherein, based on a result of the comparison, the identification image associated with the stored feature amount is associated with the predetermined medium, and an output unit configured to output the identification image associated with the predetermined medium.

Abstract: When retrieving an image from an archive of stored images that is similar to an inputted image, an image-processing apparatus (200) extracts more than one characteristic point from the inputted image (S504), computes a characteristic amount for the characteristic points thus extracted (S505), and evaluates the fluctuation in the characteristic amount when a prescribed alteration is applied to the inputted image (S506). The image-processing apparatus selects a characteristic point from among the characteristic points thus extracted from the inputted image, and retrieves (S508) a stored image that is similar to the inputted image, in accordance with the characteristic amount of the characteristic point thus selected.

Abstract: A page image is acquired. Area information that includes information on existence or absence of a text area and a picture area is extracted from the acquired page image. The page image is divided into a plurality of blocks. An image feature amount of each of the divided blocks is calculated. Whether the page image includes a picture area is determined on the basis of the extracted area information and the calculated image feature amounts of the blocks.

Abstract: An image retrieval apparatus configured so as to enable a global feature method and a local feature method to complement each other is provided. After obtaining a retrieval result candidate using the local feature method, the image retrieval apparatus further verifies global features already registered in a database, with regard to the retrieval result candidate image. A verification position of the global features is estimated using the local features.

Abstract: A reproduction apparatus includes a reproduction unit that reproduces digital data selected by a user; a prediction unit that predicts a reproducible time based on remaining power of a battery and a determination unit that determines whether the digital data selected by the user can be reproduced to the end or not based on the reproducible time, wherein when the determination unit determines that the selected digital data can be reproduced to the end, the reproduction apparatus causes the reproduction unit to reproduce the selected digital data and when the determination unit determines that the selected digital data cannot be reproduced to the end, the reproduction apparatus warns that the digital data cannot be reproduced to the end.

Abstract: Even if there are many printed images similar to a query image, this invention can effectively use a display window with a limited size and support to specify the print request source of each similar image by classifying and displaying the images according to additional information containing information indicating the print request source which has issued a print request for the image. Therefore, when a query image is input and images similar to the query image are found, the similar images are classified according to the user names of users who have printed them. The numbers of times of printing of the similar images and maximum similarities are displayed for the respective user names.

Abstract: A plurality of feature points are extracted from an inputted image, and a feature amount is computed with regard to the feature point thus extracted. A prescribed plurality of alterations, i.e., a rotation, an enlargement, or a reduction, are applied to the inputted image, a plurality of altered feature amounts are estimated with regard to the feature point, and an image is retrieved from among stored images that are stored upon a storage apparatus and that is most similar to the inputted image, in accordance with the plurality of the estimated altered feature amounts.

Abstract: A position and an area of a region to be processed, that is, a region from which image feature parameters are to be extracted, are obtained, and the number of pixels required for obtaining the usable image feature parameters is determined in accordance with types of the image feature parameters to be extracted. Then, a required resolution is calculated in accordance with the determined number of pixels and the area of the region to be processed, an image having a minimum resolution which is equal to or higher than the required resolution and which is usable to extract the usable image feature parameters is selected, and the image feature parameters are extracted from a region to be processed in the selected image.

Abstract: Of the feature amounts of respective regions on an image, a region having a feature amount which is similar to that of a region of interest on a image is specified (S1307). Of the OCR results of the respective regions on the image, a region having an OCR result which matches that of the region of interest on the image is specified (S1308). Regions corresponding to respective regions on the image of the respective regions are specified based on the layout order of the specified regions (S1311). Of the regions obtained by combining neighboring regions on the image, a region corresponding to an inclusion region that includes each specified region is specified (S1314).

Abstract: An image processing apparatus extends the edge portion of an image in a prescribed range, detects, from the image, a plurality of feature points that each indicate a setting position of a local region, sets a local region corresponding to each of the feature points in the image on which region extension has been performed, and calculates a local feature amount corresponding to each feature point based on image information in the local region.

Abstract: A moving image playback apparatus plays back moving image data, and synchronously displays a thumbnail image sequence obtained from the moving image data. In this state, when a cursor used to designate a thumbnail image falls within a predetermined area including the display area of the thumbnail image, synchronous display of the thumbnail image sequence is interrupted. When a thumbnail image is designated by the cursor, the playback position jumps to a corresponding scene to start playback of the moving image, and synchronous display of the thumbnail image sequence is restarted. When the thumbnail image sequence has been scrolled in the time-axis direction, synchronous display of the thumbnail image sequence is interrupted, and an instruction interface used to instruct restart of synchronous display is provided. When the instruction interface is operated in this state, synchronous display of the thumbnail image sequence is restarted.