Event recognition in sport programs using low-level motion indices
Arianna Bonzanini, Riccardo Leonardi, Pierangelo Migliorati · 2001
In this paper we present a semantic video indexing algo-rithm based on finite-state machines and low-level motion indices extracted from the MPEG compressed bit-stream. The problem of semantic video indexing is actually of great interest due to the wide diffusion of large video databases. In literature we can find many video indexing algorithms, based on various types of low-level features, but the prob-lem of semantic indexing is less studied and surely it is a great challenging one. The proposed algorithm is an exam-ple of solution to the problem of finding a semantic relevant event (e.g., scoring of a goal in a soccer game) in case of specific categories of audio-visual programmes. The sim-ulation results show that the proposed algorithm can effec-tively detect the presence of goals and other relevant events in sport programs. 1.