This paper provides an overview of the tasks submitted to TRECVID 2010 by ITI-CERTH. ITI- CERTH participated in the Known-item search (KIS) and Instance search (INS) tasks, as well as in the Semantic Indexing (SIN) and the Event Detection in Internet Multimedia (MED) tasks. In the SIN task, techniques are developed, which combine motion information with existing well-performing descriptors such as SIFT and Bag-of-Words for shot representation. In the MED task, trained concept detectors are used to represent video sources with model vector sequences, while a dimensionality reduction method is used to derive a discriminant subspace for recognizing events. The KIS and INS search tasks are performed with by employing VERGE, which is an interactive retrieval application combining retrieval functionalities in various modalities (i.e. textual, visual and concept search). Evaluation results on the submitted runs for the aforementioned tasks provide interesting conclusions regarding the performance of the involved techniques and algorithms.