Comments Off on Video Event Classification using String Kernels

By lambertoballan, September 22, 2009

Our paper on “Video Event Classification using String Kernels“ was accepted for publication by Springer International Journal on Multimedia Tools and Applications (MTAP) in the special issue on Content-Based Multimedia Indexing.

In this paper we present a method to introduce temporal information for video event recognition within the bag-of-words (BoW) approach. Events are modeled as a sequence composed of histograms of visual features, computed from each frame using the traditional BoW. The sequences are treated as strings phrases where each histogram is considered as a character. Event classification of these sequences of variable length, depending on the duration of the video clips, are performed using SVM classifiers with a string kernel that uses the Needlemann-Wunsch edit distance.

Comments Off on Semantic annotation of soccer videos by visual instance clustering and spatial/temporal reasoning in ontologies

By lambertoballan, August 16, 2009

Our paper on “Semantic annotation of soccer videos by visual instance clustering and spatial/temporal reasoning in ontologies” was accepted for publication by Springer International Journal on Multimedia Tools and Applications (MTAP).

In this paper we present a framework for semantic annotation of soccer videos that exploits an ontology model referred to as Dynamic Pictorially Enriched Ontology, where the ontology, defined using OWL, includes both schema and data. Visual instances are used as matching references for the visual descriptors of the entities to be annotated. The paper is available online now and it is also available on SpringerLink in the “Online First” section (DOI).