Title :
Panoramic appearance-based recognition of video contents using matching graphs
Author :
Chen, Chu-Song ; Hsieh, Wen-Teng ; Chen, Jiun-Hung
Author_Institution :
Inst. of Inf. Sci., Acad. Sinica, Taipei, Taiwan
Abstract :
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.
Keywords :
computer vision; dynamic programming; graph theory; image matching; search problems; video cameras; video databases; virtual reality; computer vision; dynamic-programming; graph matching; image understanding; panoramic appearance-based recognition; shortest-path searching problem; video camera; video recognition; visual recognition; Cameras; Computer vision; Graph theory; Image databases; Image recognition; Image sequences; Information science; Layout; Robot vision systems; Visual databases; Algorithms; Artificial Intelligence; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Pattern Recognition, Automated; Subtraction Technique; Video Recording;
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
DOI :
10.1109/TSMCB.2003.811770