Abstract:
Provided are a system and a method for sharing a three-dimensional (3D) video using spectacle type photographing and display devices. The device for sharing a 3D video according to one embodiment of the present invention includes: a 3D camera capturing the viewing direction of a user; a processor generating a 3D video with the video captured by the 3D camera; and a network communication unit transmitting the 3D video generated by the processor to a user through a network. Therefore, a plurality of users can share the 3D video at the same view point by making a scene which a user currently watches into a 3D video and storing or transmitting the video to a spectacle type display of the other user through a corded or wireless network. [Reference numerals] (AA) Stereo video acquisition; (BB) Depth map extraction; (CC) Network transport (stereo video and depth map); (DD,EE,FF) Binocular 3D video configuration
Abstract:
The present invention relates to a method for extracting video properties in high speeds. The method for extracting the video properties in high speeds includes a step of obtaining information about a size of a sliding window and a step distance; a step of detecting a duplicate video from the data of which the video is analyzed based on the information about the sliding window; and a step of analyzing only the data of a newly designated area except for the duplicate video among a newly analyzed video data which the sliding window is designated based on the detected duplicate video. [Reference numerals] (110) Communication interface unit; (120) Input unit; (140) Display unit; (150) Storage unit; (160) Control unit; (170) Camera
Abstract:
PURPOSE: An integrated type SVM(Support Vector Machine) circuit device is provided to integrate linear and non-linear SVM circuits and to selectively drive the linear and non-linear SVM circuits, thereby efficiently recognizing and classifying an object. CONSTITUTION: An inner calculation integration circuit unit(20) receives feature values, support vectors, and kernel type values for recognition and classification objects. The inner calculation integration circuit unit calculates a first calculation value by performing selectively performing inner calculation based on the feature values and the support vectors corresponding to the kernel type values. When a value selecting a non-linear type with the kernel type values is inputted, a kernel function calculation circuit unit(50) receives the first calculation unit from the inner calculation integration circuit unit and calculates a second calculation value by performing calculation based on a kernel function. The kernel function calculation circuit unit recognizes and classifies the objects. [Reference numerals] (10) Preprocessing unit; (20) Inner calculation integration circuit unit; (30) Linear inner calculation unit; (40) Non-linear inner calculation unit; (50) Kernel function calculation circuit unit; (AA) Object image; (BB) Feature value; (CC) Support vector; (DD) Kernel type value; (EE) Recognition and classification result output;
Abstract:
PURPOSE: A feature vector extracting method using an interleaving histogram and an image recognition method applying the same are provided to reduce the amount of memory requests in a post-classification algorithm. CONSTITUTION: A feature vector extracting unit configures an interleaving histogram(S340). The feature vector extracting unit extracts a block feature vector from the interleaving histogram(S350). The feature vector extracting unit normalizes the extracted block feature vector(S360). The feature vector extracting unit extracts the image feature vector(S370,S390).