摘要:
A depth estimation apparatus is provided. The depth estimation apparatus may estimate a depth value of at least one pixel composing an input video based on feature information about at least one feature of the input video, a position of the at least one pixel, and a depth relationship among the at least one pixel and neighboring pixels.
摘要:
Provided is a three-dimensional (3D) image generating system and method accommodating multi-view imaging. The 3D image generating system and method may generate corrected depth maps respectively corresponding to color images by merging disparity information associated with a disparity between color images and depth maps generated respectively from depth images.
摘要:
A depth estimation apparatus is provided. The depth estimation apparatus may estimate a depth value of at least one pixel composing an input video based on feature information about at least one feature of the input video, a position of the at least one pixel, and a depth relationship among the at least one pixel and neighboring pixels.
摘要:
A video management method and system based on a topic, and a video search method based on a topic. The video management system includes: a video topic management unit extracting a topic from information associated with a video, storing the extracted topic, and monitoring the video associated with the stored topic; a video storage management unit storing the video and information associated with the video, and managing a storage space based on the topic which is stored in the video topic management unit; and a topic video management unit generating a topic video of the monitored video when the video associated with the stored topic is monitored, and providing a search function and a navigation function of the video which is stored in the video storage management unit.
摘要:
A photo category classification method including dividing a region of a photo based on content of the photo and extracting a visual feature from the segmented region of the photo, modeling at least one local semantic concept included in the photo according to the extracted visual feature, acquiring a posterior probability value from confidence values acquired from the modeling of the at least one local semantic concept by normalization using regression analysis, modeling a global semantic concept included in the photo by using the posterior probability value of the at least one local semantic concept; and removing classification noise from a confidence value acquired from the modeling the global semantic concept.