Canon Kabushiki Kaisha

Sammy Chan

Mark Ronald Tainsh

Tatsuya Yamamoto

Alison Joan Lennon

Jing Wu

Ka Ming Leung

Fumitaka Goto

Hiroyasu Kunieda

Sue-Ken Yap

Shigeki Hirooka

Satoru Mamiya

Rajanish Calisa

Nicholas Grant Fulton

David Ian Johnston

Khanh Phi Van Doan

Ian Robert Boreham

Ij Eric Wang

Lena Qian

Nicole Ai Ling Lam

Alex Penev

Joshua Brendon Worrill

Timothy Charles Edgoose

A system and method of selecting a frame capturing a short duration action from a video. The method including receiving a sequence of frames of the video; and determining a reference frame in the sequence of frames by detecting a predetermined action captured in one of a first plurality of frames from the sequence of video frames, the first plurality of frames being sampled from the sequence of frames at a first sampling rate lower than that of the sequence of frames. The method further comprises selecting a second plurality of frames from the sequence of frames, the second plurality of frames having a location associated with the reference frame in the sequence and being selected at a second sampling rate, the second sampling rate being higher than the first sampling rate; and selecting the frame capturing the short duration action from the second plurality of frames.

Method, system and apparatus for selecting frames of a video sequence

A method of selecting frames of a video sequence. Image data for a plurality of consecutive frames of the video sequence is captured using a camera. Frames from the plurality of consecutive frames where the camera is moving are identified using the captured image data, wherein each of the identified frames comprises a subject. A size of the subject captured in each of the identified frames is determined. The identified frames are selected by detecting that the camera is moving towards and with the subject based on the size of the subject within each of a plurality of the identified frames.

An information processing apparatus includes at least one processor causing the information processing apparatus to act as a first obtainment unit configured to execute processing for obtaining a first feature amount for each of a plurality of frames, a specification unit configured to specify a priority order of frames for obtaining a second feature amount different from the first feature amount based on the first feature amount obtained by the first obtainment unit, a second obtainment unit configured to execute processing for obtaining the second feature amount from a frame in accordance with the priority order, and a selection unit configured to select, based on the second feature amount obtained by the second obtainment unit, an image processing target frame. The number of frames from which the second feature amount is obtained is fewer than the number of the plurality of frames from which the first feature amount is obtained.

Information processing apparatus, method, and storage medium storing a program that obtain a feature amount from a frame in accordance with a specified priority order

A method of selecting at least one video frame of a video sequence comprising a plurality of video frames. The method determines a time for analysis based on length of the video sequence and processing capability of a running device. A first sampling pattern is based on the determined time for analysis. A first set of frames in the video sequence is sampled using a first sampling pattern. The first set is sampled infrequently throughout the video sequence in accordance with the first sampling pattern. A candidate frame is determined from the sampled frames based on image quality. A second set of the frames comprising one or more of the frames in a narrow range of the video sequence near the determined candidate frame, is determined in accordance with a second sampling pattern. At least one of the video frames is selected from the sampled frames based on image quality.

Method, system and apparatus for selecting a video frame

When a first frame included in a moving image satisfies a predetermined condition about a predetermined feature quantity, a second frame is analyzed and a candidate frame is selected from the first frame and the second frame as a candidate of an output target based on a result of analysis of the first frame and a result of analysis of the second frame.

Image processing apparatus, image processing method, and storage medium

A method of selecting at least one video frame of a video sequence. A plurality of faces is detected in at least one video frame of the video sequence. An orientation of the detected faces is tracked over a series of subsequent video frames to determine whether a first detected face is turning towards a second detected face. The method then determines, using the tracked orientation of the detected faces, a portion of the video sequence in which the first and second detected faces are oriented towards each other for at least a predetermined number of frames defining a gaze fixation of the detected faces. At least one video frame is selected from the determined portion of the video sequence, the selected video frame capturing the gaze fixation of the detected faces.

Generating a plurality of event clusters by segmenting an image set. Each event cluster includes at least one image from the image set. The image set, having time metadata corresponding to each image in the set, is accessed. A time interval between each pair of neighboring images in the image set is determined. The neighboring images in each of the pairs are adjacent in a time ordered sequence. The time interval for each of the pairs is determined from time metadata associated with each image in the pair. An adjustment value is determined for one or more of the determined time intervals based on at least one of predetermined time of day information and calendar information. The images in the image set are segmented to generate the plurality of event clusters. Segmentation boundaries for each event cluster are determined using at least the determined adjustment value.

Method, system and apparatus for segmenting an image set to generate a plurality of event clusters

In an information processing method, the importance degree of each person who appears in a first image group and the importance degree of each person who appears in a second image group, containing the first image group, are determined, and, when selecting the image of the output target from the first image group, in a case in which the importance degree of a candidate image of the output target included in the first image group, which is determined from the appearance count in the first image group, exceeds a first threshold, and, in a case in which the importance degree of the candidate image of the output target, which is determined from the appearance count in the second image group, exceeds a second threshold, the candidate image is selected as the output target.

Information processing method, information processing apparatus, and non-transitory computer-readable storage medium that determine whether a target person is an important person based on importance degrees

A method of delivering a recommendation is disclosed. A preference rating is received for each of a plurality of electronic devices based on a task to be recommended, each of the preference ratings defining a preference to perform the recommended task on a corresponding one of the electronic devices. A timeliness profile associated with the recommendation is received. The timeliness profile defines relevance of delivering the recommendation over a period of time. One of the electronic devices on which to deliver the recommendation at a particular point in time is selected based on a function of the preference rating of the selected electronic device and the timeliness profile associated with the recommendation at that point in time.

Method, system and apparatus for delivering a recommendation

Methods (), apparatuses (), and computer readable storage mediums for processing captured images having geolocations related to the captured images at the time of capture are disclosed. A representative geolocation is associated () with each group of images previously captured at the same location. For each representative geolocation, based on at least the timestamp of the images associated with the representative geolocation, the probability is determined () that a further image will be captured at or near the representative geolocation. For representative geolocations with a determined probability above a predetermined threshold, the respective representative geolocation is associated () with at least one personal place.

Processing captured images having geolocations

A query system () is formed by a wizard () operating to form a data server () arranged to serve data from a data source () to a client application (), each of the wizard, the client application, the data server and the data source being linked by a communications network (). The data source has native data types and data arranged in a data structure. The wizard operates to firstly identify the data source over the network. The wizard further provides an application program for traversing and examining at least one of the data structure and data of the identified data source. The application program is operable to generate a representative schema () comprising mapping data for converting the native data types to predetermined data types of a common data model. The wizard further operates to create a server application () adapted to use the representative schema to convert the data from the native data types to the predetermined data types and to serve the data to the client application according to the common data model over the network. The representative schema and the server application thereby form the data server generated by the wizard. Once formed, the data server may receive and respond to queries from the client application, which may have no knowledge of the native data types, but which are directed to the data source.

Method of generating data servers for heterogeneous data sources

Access to heterogeneous data sources may be obtained by interactively determining transformations for use in mapping at least one source data component from at least one data source to a target data component. Selection of at least one the source data component is detected. A corresponding list of representative data examples is generated for each selected source data component. A resulting list of representative data examples is compiled for the target data component from the lists of representative data examples of the selected source data components, the resulting list of data examples being representative of the target data component. A modification of an example is identified from the resulting list of examples representative of the target data component, the example being modified as a single textual entity. At least one transformation is determined, by inferring from the modified example, to be applied to at least one source data component.

Methods for interactively defining transforms and for generating queries by manipulating existing query data

A method of selecting a GUI object () in a display space () using a user controlled pointing device () is disclosed. The method comprises the steps of establishing an initial range mapping between the pointing device and the display space, and defining an initial Selected Display Region (SDR) in the display space dependent on the initial range mapping. Then the method involves receiving (), from the pointing device, a set of coordinates in the initial SDR, updating () the range mapping dependent upon the received set of coordinates, and redefining the SDR dependent upon the updated range mapping. The method then determines () the presence of any GUI object within the redefined SDR, and if a GUI object is present in the redefined SDR, selecting () the GUI object.

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Beecroft, Australia

Sammy Chan