In this paper we first define 4 semantic events, and then design HMM model with states made up of each event. We also use 10 multiple visual features based on .
Dive into the research topics of 'Soccer video summarization system based on hidden Markov model with multiple MPEG-7 descriptors'. Together they form a unique ...
To this end, we focus on incorporating the standard audio-visual features (MPEG-7 descriptors) with domain-specific information in a common framework, and thus ...
Abstract. We present video summarization and indexing techniques using the MPEG-7 motion activity descriptor. The descriptor can be extracted in the ...
Sports Databases The system can also be used to automatically extract video segment, object, and event descriptions in MPEG-7 format thereby enabling the ...
In [15] Tavassolipour et al. used Bayesian. Network and Hidden Markov Model for key event detection and summarization in multiple sports. (soccer, freestyle ...
This paper proposes a system to analyze and summarize the video shots of the baseball game TV program into fifteen categories. The system consists of three ...
Automatic summarization of soccer highlights using audio-visual ...
pmc.ncbi.nlm.nih.gov › PMC4485672
In this paper, a new approach for automatic highlights summarization generation of soccer videos using audio-visual descriptors is presented. The approach is ...
In this paper, we propose a new semantic event detection algorithm in structured video. A hybrid method that combines HMM with SVM to detect semantic events ...
To efficiently organize the semantic information of soccer video, this paper presents a soccer video's semantic description schema based on MPEG-7 ...