Panoramic appearance-based recognition of video contents using matching graphs.
This paper proposes a general scheme for recognizing the contents of a video using a set of panoramas recorded in a database. In essence, a panorama inherently records the appearances of an omni-directional scene from its central point to arbitrary viewing directions and, thus, can serve as a compact representation of an environment. In particular, this paper emphasizes the use of a sequence of successive frames in a video taken with a video camera, instead of a single frame, for visual recognition. The associated recognition task is formulated as a shortest-path searching problem, and a dynamic-programming technique is used to solve it. Experimental results show that our method can effectively recognize a video.
Chen
Chu-Song
CS
Institute of Information Science, Academia Sinica, Taipei, Taiwan, ROC. song@iis.sinica.edu.tw
Hsieh
Wen-Teng
WT
Chen
Jiun-Hung
JH
D000465:Algorithms; D001185:Artificial Intelligence; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D010363:Pattern Recognition, Automated; D013382:Subtraction Technique; D014741:Video Recording / Q000379:methods*