With Internet delivery of video content surging to an unprecedented level, online video advertising is becoming increasingly pervasive. In this paper, we present a novel advertising system for online video service called VideoSense, which automatically ...

The growth of music resources on personal devices and Internet radio has increased the need for music recommendations. In this paper, aiming at providing an efficient and general solution, we present a search-based solution for scalable music ...

With continued growth of music content available on the Internet, music information retrieval has attracted increasing attention. An important challenge for music searching is its ability to support both keyword and content based queries efficiently and ...

The content track in ACM Multimedia 2007 will for the first time, feature close to 50% of papers related to TRECVID [1]. There are more TRECVID papers in the other tracks too. A large number of accepted papers also focus on various enhanced machine ...

This paper provides an outline of my doctoral thesis work whose aim is to develop a reference model for Intelligent Content and a methodology on how properties of Intelligent Content Objects and functionality of Semantic Web Services can be combined in ...

In this paper, we describe our midterm PhD work that focuses on role of large scale semantic resources in image retrieval. Current Internet picture search engines are based on a raw processing of the text associated to the images and this leads to an ...

The open-source Advene prototype offers a framework for integrating and visualising audiovisual metadata. It allows users to define by themselves, according to their specific tasks, the structure of the metadata as well as the different ways in which it ...

We study the problem of semantic concept-based query expansion and re-ranking for multimedia retrieval. In particular, we explore the utility of a fixed lexicon of visual semantic concepts for automatic multimedia retrieval and re-ranking purposes. In ...

Multimedia-based ontology construction and reasoning have recently been recognized as two important issues in video search, particularly for bridging semantic gap. The lack of coincidence between low-level features and user expectation makes concept-...

Multimedia search over distributed sources often result in recurrent images or videos which are manifested beyond the textual modality. To exploit such contextual patterns and keep the simplicity of the keyword-based search, we propose novel reranking ...

Multimedia playback is restricted by the processing power of mobile devices, and in particular, the playback quality can be degraded due to insufficient processing power. To address this problem, we propose a new workload-scalable transcoding scheme ...

Given the rich content-based features of multimedia (e.g., visual, text, or audio) and the development of various approaches to automatic detectors (e.g., SVM, Adaboost, HMM or GMM, etc), can we find an efficient approach to combine these evidences? In ...

Learning based semantic video annotation is a promising approach for enabling content-based video search. However, severe difficulties, such as insufficiency of training data and curse of dimensionality, are frequently encountered. This paper proposes a ...

Pairwise similarity of samples is an essential factor in graph propagation based semi-supervised learning methods. Usually it is estimated based on Euclidean distance. However, the structural assumption, which is a basic assumption in these methods, has ...