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:
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:
A Baseline DVB-CPCM is presented in this proposal to provide a secure and interoperable content delivery and transferring apparatus. The proposed Baseline DVB-CPCM is a unit to be implemented in a compliant CPCM device, and it consists of five major modules to be used for end-to end solution and content transferring between devices. These modules are CPCM Manager, Tools Box, Rights Management Module, Message Router, and CAS-CPCM Converter.
Abstract:
A method of transferring information specifying an IPMP tool utilized for processing a content protected by IPMP to an IPMP terminal specifies and uses XML schema for terminal platform specification, parametric description, and parametric aggregation which is to be used in MPEG-n IPMP system. For example, according to the method, based on a predetermined terminal platform XML schema and language to describe a terminal platform, terminal platform specification is created based on the terminal platform schema and language to specify on what platform or terminal the IPMP tool can run. The terminal platform specification is attached to metadata associated with the tool. The terminal platform specification and the IPMP tool are transferred to an IPMP terminal which is implemented with a terminal platform parser based on the terminal platform schema and language.
Abstract:
Provided is a probe capable of effectively performing NIR imaging by optimally arranging input channels and detection channels, and an image reconstruction method using the probe. The probe (10) according to the present invention performs NIR imaging on a region of interest (16) that is an imaging target, and includes a probe body (11) in which the input channels and the detection channels are arranged, and the probe body includes: first input channels (131) arranged in the upper area (19); first detection channels (141) arranged in the lower area (20); second input channels (132) arranged in the left area (17); and second detection channels (141) arranged in the right area (18).
Abstract:
This streaming system includes a server and a client which transmit and receive a media stream having a layer structure including at least a session layer through a network. The server includes means for incorporating management information for managing the media stream in an SDP of the session layer of the media stream, and means for transmitting the SDP in which the management information is incorporated to the client in the session layer of the media stream. The client includes means for receiving the SDP in which the management information is incorporated from the server, means for extracting the management information from the received SDP, and means for managing the media stream on the basis of the extracted management information.
Abstract:
A data distribution system that distributes data adapting to a second terminal from a first terminal having data to the second terminal. The first terminal includes a data recording means that records data of a plurality of formats, a data distribution request receiving means that receives a distribution request of data adapting to the second terminal and that receives a URL related to the information of the second terminal, a terminal information acquiring means that acquires the information of the second terminal from the URL, a data selecting means that selects data adapting to the second terminal on the basis of the acquired information of the second terminal, and a data transmitting means that transmits the selected data to the second terminal. The second terminal includes a terminal information describing means that describes the information of the second terminal in tree structure, a URL recording means that transmits the information of the second terminal described in tree structure to a predetermined URL to record the information, a data distribution request means that requests the first terminal to distribute data adapting to the second terminal and that notifies the first terminal of the URL, and a data receiving means that receives the data from the first terminal.
Abstract:
MPEG-n IPMP system with a wide interoperability is provided. For this purpose, the IPMP_Data_BaseClass is defined, several IPMP data extending from this base class are also defined. IPMP data is the data that describes IPMP information, it includes: IPMP_OpaqueData; IPMP_SelectiveDecryptionMessage; IPMP_AudioWatermarkingInit; IPMP_VideoWatermarkingInit; and IPMP_KeyData. Places where IPMP data extending from IPMP_Data_BaseClass are also specified. With the above work, a IPMP tool from Vendor A will be able to understand the IPMP data constructed by Content Author B, hence the inter-operability will be achieved, that is, the same protected content will be able to be consumed on different vendor's MPEG-n IPMP terminals.
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:
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.