title: Panoramic appearance-based recognition of video contents using matching graphs.
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.
authors.affiliation: Institute of Information Science, Academia Sinica, Taipei, Taiwan, ROC. song@iis.sinica.edu.tw
authors.forename: Chu-Song
authors.initials: CS
authors.lastname: Chen
authors.forename: Wen-Teng
authors.initials: WT
authors.lastname: Hsieh
authors.forename: Jiun-Hung
authors.initials: JH
authors.lastname: Chen
mesh_terms: 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*