This paper presents a content-based interactive video browsing system to address the challenge in a live video search competition to find specific video clips from a large video collection under time constraints. Since the target of this evaluation forum is to evaluate and demonstrate the development of interactive video search tools, we do not need to consider if the most commonly used query-b...

Software agents are intended to perform certain tasks on behalf of their users. In many cases, however, the agent’s competence is not sufficient to produce the desired outcome. This chapter presents an approach to cooperative problem solving in which an information agent and its user try to support each other in achieving a particular goal. As a side effect the user can extend the agent’s capab...

In this paper, we focus on the problem of content-based retrieval for audio, which aims to retrieve all semantically similar audio recordings for a given audio clip query. This problem is similar to the problem of query by example of audio, which aims to retrieve media samples from a database, which are similar to the user-provided example. We propose a novel approach which encodes the audio in...

This paper introduces ImageSleuth, a tool for browsing and searching annotated collections of images. It combines the methods of Formal Concept Analysis (FCA) for information retrieval with the graphical information conveyed in thumbnails. In order to use thumbnails of images to represent concept extents, line diagrams can not be efficiently utilised and thus other navigation methods are necess...

The paper presents definition extensions to MPEG-7 metadata ones, mainly related to audio descriptors, introduced to efficiently describe traditional Greek music data features in order to further enable efficient music retrieval. A number of advanced content-based retrieval scenarios have been defined such as query by music rhythm, query by example and humming based on newly introduced music fe...

Search in audio archives is a challenging problem. Using prosodic information to help find relevant content has been proposed as a complement to word-based retrieval, but its utility has been an open question. We propose a new way to use prosodic information in search, based on a vector-space model, where each point in time maps to a point in a vector space whose dimensions are derived from num...

This paper introduces the IMOTION system, a contentbased video retrieval engine, which is our proposed contribution for the 2015 Video Search Showcase. IMOTION is based on the Cineast system and was originally designed as a sketch-based video retrieval engine supporting multiple query paradigms. For the Video Search Showcase, it has been extended by dedicated motion features to allow for the sp...