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\subsubsection{Local feature histogram}  Each node $v_i$ will be associated with two components of  histograms: \textit{foreground histogram} $h_i^{fg}$ and \textit{background histogram} $h_i^{bg}$: \begin{itemize}  \item $h_i^{fg} = \sum_{j \in c_i} bow(f_j)$ - a frequency of quantized local features $f_j$ extracted inside the region $c_i$.   \item $h_i^{bg} = \sum_{j \notin c_i} bow(f_j)$ - a frequency of quantized local features $f_j$ extracted outside the region $c_i$.  \end{itemize}  Hence, the histogram representation of node $v_i$ can defined as:  \begin{equation}  h_i = \[ \|h_i^{fg}\| + \[ \|h_i^{bg}\|  \end{equation}  \subsubsection{Performance Evaluation}  \subsubsection{UCF-Sport Dataset}