\chapter{Trademark retrieval in sports video archives}\label{chap:logo_sports}
{

\begin{quote}
\textit{In this chapter we describe a system for detection and retrieval of trademarks appearing in sports videos. We propose a compact representation of trademarks and video frame content based on SIFT feature points. This representation can be used to robustly detect, localize, and retrieve trademarks as they appear in a variety of different sports video types. Classification of trademarks is performed by matching a set of SIFT feature descriptors for each trademark instance against the set of SIFT features detected in each frame of the video. Localization is performed through robust clustering of matched feature points in the video frame. Experimental results are provided, along with an analysis of the precision and recall. Results show that the our proposed technique is efficient and effectively detects and classifies trademarks.
\footnote{This chapter has been published as \dquote{Trademark Matching and Retrieval in Sports Video Databases} in \textit{Proc.~of ACM Multimedia Information Retrieval (MIR), 2007}~\cite{ballan07}.}
\footnote{\textit{Acknowledgments:}~this work was partially supported by Sport System Europe srl, Bologna, Italy.}
}
\end{quote}


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\section{Introduction}\label{sec:intro3}


%-------------------------------------------------------------------------
\section{Image and video features}\label{sec:compact}


%-------------------------------------------------------------------------
\section{Detection and retrieval of trademarks}\label{sec:matching}


%-------------------------------------------------------------------------
\section{Experimental results}\label{sec:experiments}

\subsection{Implementation}

\subsection{Test data and experiment design}

\subsection{Results}


%-------------------------------------------------------------------------
\section{Conclusion}\label{sec:conclusion3}

}