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This paper provides an overview of the Social Event Detection (SED) task, which is organized as part of the MediaEval 2011 benchmarking activity. With the convergence between social networking and multimedia creation and distribution being experienced on a regular basis by hundreds of millions of people worldwide, this task examines how new or state of the(More)
Multimedia indexing is about developing techniques allowing people to effectively find media. Content-based methods become necessary when dealing with large databases. Current technology allows exploring the emotional space which is known to carry very interesting semantic information. In this paper we state the need for an integrated method which extracts(More)
This paper is concerned with the retrieval of images from large databases based on their shape similarity to a query image. Our approach is based on two dimensional histograms that encode both the local and global geometric properties of the shapes. The pairwise attributes are the directed segment relative angle and directed relative position. The novelty(More)
ÐThis paper presents a new compact shape representation for retrieving line-patterns from large databases. The basic idea is to exploit both geometric attributes and structural information to construct a shape histogram. We realize this goal by computing the N-nearest neighbor graph for the lines-segments for each pattern. The edges of the neighborhood(More)
This paper presents a novel multi-dimensional hidden Markov model approach to tackle the complex issue of image modeling. We propose a set of efficient algorithms that avoids the exponential complexity of regular multidimensional HMMs for the most frequent algorithms (Baum-Welch and Viterbi) due to the use of a random dependency tree (DT-HMM). We provide(More)
With the rapid development of social media sites, a lot of user generated content is being shared in the Web, leading to new challenges for traditional media retrieval techniques. An event describes the happening at a specific time and place in real-world, and it is one of the most important cues for people to recall past memories. The reminder value of an(More)
In this paper, we present our approach and results of the MediaEval 2011 social event detection (SED) task. We solve the event detection problem in three steps. First, we query all event instances that happened given some condition. Then, an event identification model is proposed to measure the relationship between events and photos. Finally, visual pruning(More)