Canon Kabushiki Kaisha

Kazuyo Ikeda

Hirotaka Shiiyama

Hiroshi Tojo

Yuji Kaneda

Koichi Magai

Masahiro Matsushita

Naotsugu Sagawa

An apparatus which detects an object in a frame image of a moving image captured by each image capturing apparatus in an area, acquires an image feature of the detected object, tracks the detected object in one moving image, acquires an image feature of an object to be searched from the detected object, searches for an object having a similarity equal to or higher than a predetermined threshold from the acquired image features and identifies the object, acquires an image feature of the tracked object and corresponding to the identified object from the acquired image feature, and searches for an object having a similarity equal to or higher than the predetermined threshold from the acquired image features and identifies the object.

Apparatus for searching for object and control method thereof

An image processing apparatus acquires a plurality of input images which are serially photographed, detects a plurality of object regions from each input image, and associates object regions in a past input image with object regions in a current input image. If any object region that has not been appropriately associated exists in the object regions detected from the past input image, the apparatus calculates object region movement information for each size of the object region based on the object regions mutually associated between the past input image and the current input image, and estimates a position of the object region of the current input image that has not been associated based on the movement information for each size of the object region and a size of the object region that has not been associated.

Image processing apparatus configured to detect object included in image and method therefor

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.

Local feature extraction apparatus, control method therefor, and computer-readable medium

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.

Image processing apparatus configured to calculate a resolution suitable for the size of a region to be processed and method for controlling the same

An image processing apparatus divides an image into a plurality of first image blocks, each of which is a partial area of the image, and further divides each first image block to acquire a plurality of compartments that correspond to filters for determining an edge direction of an image of the first image block. The image processing apparatus determines the edge direction of each first image block based on the plurality of compartments and the filters, and decides that a first image block whose edge direction cannot be determined is a failed image block. The image processing apparatus then generates, from the failed image block, a second image block constituted by a plurality of compartments that differ in size from the plurality of acquired compartments, and determines the edge direction of the second storage block based on the plurality of newly generated compartments and the filters.

Image processing apparatus and control method thereof

An information searching apparatus for searching for information calculates a matching degree, which indicates a degree at which searching conditions used for searching for the information are satisfied, decides a complete matching area in which is displayed information whose matching degree indicates a complete matching, and displays information on an inside or an outside of the complete matching area in accordance with whether or not the matching degree of the information indicates a complete matching.

Information searching apparatus, information searching method, and storage medium

An information search apparatus includes query condition input means for inputting a query condition, storage means for storing a plurality of image data which undergo a search, first similarity calculation means for calculating similarity values between the query condition and the individual image data by comparing the query condition with each image data stored in the storage means, first search result display means for displaying the search results on the basis of the similarity values calculated by the first similarity calculation means, image selection means for selecting a specific image from the image data displayed as the search results by the first search result display means, second similarity calculation means for calculating the similarity values between the specific image selected by the image selection means and the plurality of image data stored in the storage means, and second search result display means for displaying the search results on the basis of the similarity values calculated by the second similarity calculation means.

Information search apparatus and method, and storage medium

In an image processing apparatus, a moving picture storage module stores moving picture data. A scene designation module designates at least one scene in the moving picture data, and sets a key frame and importance level of the designated scene. A frame feature extraction module acquires an image feature amount of the designated key frame. A scene feature information storage module generates scene feature information including the duration, key frame, importance level, and image feature amount of the key frame of the scene designated by the scene designation module, and stores the generated information in a memory in correspondence with the moving picture data. Based on the scene feature information, digest playback for playing back only principal part of the designated moving picture data is executed, or desired moving picture data is found by a similar image search using the key frame.

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Yokohama, Japan

Kazuyo Ikeda