Abstract: A content control method according to the present disclosure includes: obtaining first content file information including attribute information items each on one of first content files which belong to a first content file group; obtaining second content file information including attribute information items each on one of second content files which belong to a second content file group; narrowing down the first content files, the narrowed-down first content files each having an attribute information item satisfying a condition which is set based on the first content file information and the second content file information; and identifying a first content file and a second content file which are partially or entirely same by matching entity information items each on one of the second content files and entity information items each on one or more of the narrowed-down first content files as matching targets.

Abstract: A content information access control unit (107) displays terminal content (301 to 315), which is stored in a storage terminal owned by a user, on a display unit, displays a sharing mark (213), which represents a sharing service used to share content, on the display unit in association with shared content that has been shared on the sharing service, among the terminal content displayed on the display unit, and displays a terminal mark (214) representing the storage terminal on the display unit in association with the terminal content displayed on the display unit.

Abstract: A categorizing apparatus according to the present invention includes: a selected object position determining unit which determines a first position of an object selected by a user in a first region; an identifying unit which identifies one or more objects which are related to the selected object; a parameter assigning unit which assigns a parameter to each of the related objects according to a degree of relatedness between each of the related objects and the selected object, the parameter contributing to a predetermined relationship which defines tracking property of the related object to the selected object when the selected object is moved from the first position. Hence the categorizing apparatus allows the user to intuitively categorize content items through his or her operation, so that the content items are categorized as the user desires.

Abstract: A content information access control unit (107) displays terminal content (301 to 315), which is stored in a storage terminal owned by a user, on a display unit, displays a sharing mark (213), which represents a sharing service used to share content, on the display unit in association with shared content that has been shared on the sharing service, among the terminal content displayed on the display unit, and displays a terminal mark (214) representing the storage terminal on the display unit in association with the terminal content displayed on the display unit.

Abstract: Attribute information is extracted from content stored by users. A product expression model indicating a product display method is corrected using reference information pertaining to content characteristics suitable for the product expression model and using attribute information. Processing information is then determined for making the content suit the corrected product expression model. The content is processed according to the determined processing information and a product is generated using the corrected product expression model.

Abstract: An image recognition device including: a first recognition unit that performs image recognition within an image to find a first object; an obtaining unit that obtains an attribute of the first object found by the first recognition unit; an object specifying unit that refers to object correspondence information showing identifiers of second objects and associating each identifier with an attribute, and specifies an identifier of one of the second objects that is associated with the attribute of the first object; an area specifying unit that refers to area value information showing values that are associated with the identifiers of the second objects and are related to a first area occupied by the first object, and specifies a second area within the image by using a value associated with the identifier of the one of the second objects; and a second recognition unit that performs image recognition within the second area to find the one of the second objects.

Abstract: A display control device includes a first-contents-list displaying unit which displays a first contents list on a display screen, a base-point-content identifying unit which identifies a base-point content on the first contents list, a base-point-content-position obtaining unit which obtains a first base-point-content position on the first contents list, a focus position obtaining unit which obtains a focus position on the first contents list, a positional difference calculating unit which calculates a positional difference between the first base-point-content position and the focus position, and a first scrolling unit which scrolls the first contents list displayed on the display screen so that the positional difference decreases.

Abstract: An interesting section identifying device for identifying an interesting section of a video file based on an audio signal included in the video file, the interesting section being a section in which a user is estimated to express interest, includes an interesting section candidate extracting unit that extracts an interesting section candidate from the video file, the interesting section candidate being a candidate for the interesting section, a detailed structure determining unit that determines whether the interesting section candidate includes a specific detailed structure, and an interesting section identifying unit that identifies the interesting section by analyzing a specific section when the detailed structure determining unit determines that the interesting section candidate includes the detailed structure, the specific section including the detailed structure and being shorter than the interesting section candidate.

Abstract: Provided is an image processing device for associating images with objects appearing in the images, while reducing burden on the user. The image processing device: stores, for each of events, a photographic attribute indicating a photographic condition predicted to be met with respect to an image photographed in the event; stores an object predicted to appear in an image photographed in the event; extracts from a collection of photographed images a photographic attribute that is common among a predetermined number of photographed images in the collection, based on pieces of photography-related information of the respective photographed images; specifies an object stored for an event corresponding to the extracted photographic attribute; and conducts a process on the collection of photographed images to associate each photographed image containing the specified object with the object.

Abstract: An image processing device combines a plurality of contents (e.g. videos) with a story line retained as much as possible, while reducing view's discomfort. The image processing device compares one of the contents, which contains a first partial content and a second partial content subsequent to the first partial content, with another one of the contents, which contains a plurality of consecutive partial contents; detects, as a third partial content, a partial content with the highest similarity value from among the plurality of partial contents; and generates relational information by using the highest similarity value obtained by the first processing unit. The relational information is then used for merging the first partial content, the second partial content and the third partial content.

Abstract: The image classification apparatus extracts first features of each received image (S22) and second features of a relevant image relevant to each received image (S25). Subsequently, the image classification apparatus obtains a third feature by calculation using locality of the extracted first and second features, the third feature being distinctive of a target object of each received image (S26), and creates model data based on the obtained third feature (S27).

Abstract: An interesting section extracting device extracts an interesting section of interest to a user from a video file with reference to an audio signal included in the video file such that a specified time is included in the interesting section. The interesting section extracting device includes an interface device that obtains the specified time; and a likelihood vector generating unit that calculates, in one-to-one correspondence with first unit sections of the audio signal, likelihoods for anchor models that respectively represent features of a plurality of types of sound pieces and generates likelihood vectors having the calculated likelihoods as components thereof. An interesting section extracting unit calculates a first feature section as candidate section, which is candidate for the interesting section to be extracted, by using likelihood vectors and extract, as the interesting section, part of the first feature section including the specified time.

Abstract: An image information processing apparatus comprising: an extraction unit that extracts an object from a photographed image; a calculation unit that calculates an orientation of the object as exhibited in the image; and a provision unit that provides a tag to the image according to the orientation of the object.

Abstract: An image recognition device that improves the accuracy of generic object recognition compared with conventional technologies by reducing the influence of the position, size, background clutter and the like of an object that is targeted to be recognized in the input image by the generic object recognition. The image recognition device performs a generic object recognition and includes: a segmenting unit configured to segment an input image into a plurality of regions in accordance with meanings extracted from content of the input image; a generating unit configured to compute feature data for each of the plurality of regions and generate feature data of the input image reflecting the computed feature data; and a checking unit configured to check whether or not a recognition-target object is present in the input image in accordance with the feature data of the input image.

Abstract: A content control method according to the present disclosure includes: obtaining first content file information including attribute information items each on one of first content files which belong to a first content file group; obtaining second content file information including attribute information items each on one of second content files which belong to a second content file group; narrowing down the first content files, the narrowed-down first content files each having an attribute information item satisfying a condition which is set based on the first content file information and the second content file information; and identifying a first content file and a second content file which are partially or entirely same by matching entity information items each on one of the second content files and entity information items each on one or more of the narrowed-down first content files as matching targets.

Abstract: An image recognition device that improves the accuracy of generic object recognition compared with conventional technologies by reducing the influence of the position, size, background clutter and the like of an object that is targeted to be recognized in the input image by the generic object recognition. The image recognition device performs a generic object recognition and includes: a segmenting unit configured to segment an input image into a plurality of regions in accordance with meanings extracted from content of the input image; a generating unit configured to compute feature data for each of the plurality of regions and generate feature data of the input image reflecting the computed feature data; and a checking unit configured to check whether or not a recognition-target object is present in the input image in accordance with the feature data of the input image.

Abstract: An image recognition device including: a first recognition unit that performs image recognition within an image to find a first object; an obtaining unit that obtains an attribute of the first object found by the first recognition unit; an object specifying unit that refers to object correspondence information showing identifiers of second objects and associating each identifier with an attribute, and specifies an identifier of one of the second objects that is associated with the attribute of the first object; an area specifying unit that refers to area value information showing values that are associated with the identifiers of the second objects and are related to a first area occupied by the first object, and specifies a second area within the image by using a value associated with the identifier of the one of the second objects; and a second recognition unit that performs image recognition within the second area to find the one of the second objects.

Abstract: Attribute information is extracted from content stored by users. A product expression model indicating a product display method is corrected using reference information pertaining to content characteristics suitable for the product expression model and using attribute information. Processing information is then determined for making the content suit the corrected product expression model. The content is processed according to the determined processing information and a product is generated using the corrected product expression model.

Abstract: The present invention provides an image recognition apparatus with enhanced performance and robustness. In an image recognition apparatus 1, an image classification information accumulating unit 20 stores therein feature information defining visual features of various objects obtained through a learning process. For classification of input images, an image feature obtaining unit 18 extracts descriptors indicating features from each input image, image vocabularies corresponding to the descriptors are voted, and a classifying unit 19 calculates existence probabilities of one or more candidate objects, based on the result of the voting. According to the existence probabilities, objects contained in the image is identified. Through the calculation, the existence probabilities are adjusted by an exclusive classifier, based on exclusive relationship information defining exclusive object sets each containing different objects (object labels) predicted not to coexist in a same image.

Abstract: An imaging device of the present invention comprises: an imaging mechanism; a sound acquisition unit operable to acquire sound data that includes information reflecting an imaging environment; and a setting unit operable to, based on the sound data acquired by the sound acquisition unit, select and set one or more setting values for controlling the imaging mechanism.