Abstract: A display apparatus includes a display unit configured to display in a plurality of display areas the video images of a first group out of the plurality of the video images input by the input unit and then to switch them to video images of a second group out of the plurality of the video images to produce display in a plurality of the display areas, a detection unit configured to detect objects in each video image, and a control unit configured to, in a case where the number of the objects detected in respective video images of the first group by the detection unit is equal to or greater than a first predetermined number, control the display unit to make the display time of the video image of the first group longer than a predetermined display time for displaying other video images of the first group.

Abstract: There is provided with an image processing apparatus. An evaluation is set for each of the pairs. The evaluation is set based on at least one of the number of feature points in the first image where local feature amounts are similar to a local feature amount at one of the pair or the number of feature points in the second image where local feature amounts are similar to a local feature amount at one of the pair, in such a manner that the smaller the number of feature points, the higher the evaluation. A similarity between the first image and the second image is determined using a RANSAC method. A pair having a high evaluation is used with priority in derivation of a function for transforming coordinates using the RANSAC method.

Abstract: A tint of an object according to a second image capturing device is corrected by a first parameter for correcting a tint of a second object that the second image capturing device captured in a first time zone to a tint of a first object that a first image capturing device captured in a first time zone. If a third object captured by a third image capturing device corresponds to the first object, a parameter for correcting a tint of the third object to the tint of the first object is used for correcting a tint of an object according to a third image capturing device. If the third object corresponds to the second object, the first parameter and a third parameter for correcting the tint of the third object to the tint of the second object is used for the foregoing tint correction.

Abstract: One or more embodiments relate to an object indexing method, object indexing device and object indexing system. An object indexing method may include an initializing step of dividing at least one first data container and at least one second data container, and initializing respectively the first and the second data containers by using a first data indexer and a second data indexer; a first indexing step of adding the input feature vector of a specific object into a first data container currently being filled by using the first data indexer; and a second indexing step, when the data size in the first data container being filled has reached a threshold, selecting another first data container as the first data container currently being filled, and in the case of executing the first indexing step, converting bulk data in the first data container previously being filled into one available second data container.

Abstract: This invention prevents a collation database from becoming bulky and shortening the delay time needed from person detection to registration in the collation database. An information processing apparatus comprises an acquiring unit which acquires a video, a detecting unit which detects a whole body or a part of a person from at least one frame of the acquired video, a tracking unit which tracks the whole body or the part of the person detected, and a registering unit which registers, in a database, a feature amount extracted from the whole body or the part of the person tracked during a first period from a timing of a start of tracking of the whole body or the part of the person by the tracking unit to a timing before an end of the tracking by the tracking unit.

Abstract: This invention suppresses bloating of indices for an image search. To accomplish this, when a target image to be registered is given, an apparatus described in this specification executes partial image search processing using the target image to be registered as a query image. As a result, if a corresponding image is found, and an already registered image includes the query image, the target image to be registered is registered as an image linked to the already registered image.

Abstract: There is provided with an image processing apparatus. An evaluation is set for each of the pairs. The evaluation is set based on at least one of the number of feature points in the first image where local feature amounts are similar to a local feature amount at one of the pair or the number of feature points in the second image where local feature amounts are similar to a local feature amount at one of the pair, in such a manner that the smaller the number of feature points, the higher the evaluation. A similarity between the first image and the second image is determined using a RANSAC method. A pair having a high evaluation is used with priority in derivation of a function for transforming coordinates using the RANSAC method.

Abstract: The present invention suppresses feature amounts of faces to be registered in a collation database, thereby preventing the collation database from being bloated. An information processing apparatus of the present invention includes an acquisition unit configured to acquire a video, a detection unit configured to detect at least one face of the same person from a plurality of frames of the acquired video, a classification unit configured to classify the detected faces into a plurality of predetermined groups, a selection unit configured to select, from the faces classified into the groups, not more than a first predetermined number of faces for each group, wherein the first predetermined number is an integer of not less than 2, and a registration unit configured to register feature amounts of the selected faces in a database.

Abstract: An image processing apparatus includes a detection unit configured to detect at least one identical object or at least one object of an identical type from images captured by a plurality of imaging apparatuses, a selection unit configured to select at least one object from among at least one detected object based on color information of each object, and a determination unit configured to determine color correction information related to a plurality of the imaging apparatuses based on color information of at least one selected object. The image processing apparatus enables restricting the degradation of the color matching accuracy.

Abstract: A feature point is extracted from an input image including an image region for which depth values of pixels change consecutively. A transformation that normalizes depth values of pixels of a vicinity of the feature point with respect to a region of at least a portion of the input image is set as a normalization transformation, and an image for a feature amount calculation is generated by performing the normalization transformation on a pixel position of the feature point. A feature amount is calculated from the image for the feature amount calculation.

Abstract: There is provided with an image processing apparatus. An evaluation is set for each of the pairs. The evaluation is set based on at least one of the number of feature points in the first image where local feature amounts are similar to a local feature amount at one of the pair or the number of feature points in the second image where local feature amounts are similar to a local feature amount at one of the pair, in such a manner that the smaller the number of feature points, the higher the evaluation. A similarity between the first image and the second image is determined using a RANSAC method. A pair having a high evaluation is used with priority in derivation of a function for transforming coordinates using the RANSAC method.

Abstract: This invention suppresses bloating of indices for an image search. To accomplish this, when a target image to be registered is given, an apparatus described in this specification executes partial image search processing using the target image to be registered as a query image. As a result, if a corresponding image is found, and an already registered image includes the query image, the target image to be registered is registered as an image linked to the already registered 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: For each of a plurality of second images other than a first image in an image group having a plurality of images, a feature point pair is generated by associating a second feature point of the second image with a first feature point of the first image based on a feature amount of the second feature point. A feature point pair is detected from the generated feature point pairs, where a position of the second feature point in the detected feature point pair is located within a predetermined region. A region including first feature points of the first image is extracted, where in the extracted region, detection counts of the feature point pairs exceed a predetermined threshold.

Abstract: An image processing method includes acquiring the number of feature vectors similar to at least one specific feature vector, including the at least one specific feature vector, among feature vectors of a plurality of keypoints in a comparison source image, and the number of feature vectors similar to the at least one specific feature vector in at least one comparison destination image, and comparing the comparison source image with the at least one comparison destination image by using, as a value for evaluating a similarity between the comparison source image and the at least one comparison destination image, a smaller value instead of a larger value of the numbers of feature vectors acquired with respect to the at least one specific feature vector.

Abstract: An image processing apparatus to obtain highly reliable local feature point and local feature amount. With the number of local feature points as a factor of an image local feature amount description size, the reproducibility of the local feature point and local feature amount is estimated, and description is made by the local amount description size, sequentially from local feature point and local feature amount with the highest reproducibility. It is possible to ensure a local feature amount description size and search accuracy.

Abstract: An information processing apparatus includes: a calculation unit adapted to analyze an image and calculate an intermediate value; a setting unit adapted to set a feature extraction region in the image, using the intermediate value; and an extraction unit adapted to extract a local feature of the feature extraction region, reusing the intermediate value used by the setting unit.

Abstract: For each of a plurality of second images other than a first image in an image group having a plurality of images, a feature point pair is generated by associating a second feature point of the second image with a first feature point of the first image based on a feature amount of the second feature point. A feature point pair is detected from the generated feature point pairs, where a position of the second feature point in the detected feature point pair is located within a predetermined region. A region including first feature points of the first image is extracted, where in the extracted region, detection counts of the feature point pairs exceed a predetermined threshold.

Abstract: An image retrieval apparatus generates an image feature list having a high and/or a low discrimination capability against other images based on the number of stored image features. Based on the image feature list, the image retrieval apparatus selects feature points extracted from a query image.

Abstract: A moving image processing apparatus gives an ID to a video segment obtained by dividing moving image data, and stores information for associating a section of each video segment with the ID as video segment section information. Here, meta-data corresponding to each video segment is managed by associating the meta-data with the ID given to each video segment. In editing operations, editing in units of a video segment is performed, and an arrangement of video segment IDs is manipulated. Therefore, even if the editing is performed, there arises no inconsistency in referring to meta-data information so that it is equivalent to having the meta-data updated in synchronization with the moving image editing. Thus, it is possible to have virtual editing of the moving image automatically followed by an update of the meta-data and also alleviate a burden of reediting the meta-data of an editor.