Chapter Summary Video database applications require a suitable indexing technique to
capture the time-varying nature of video data, together with a high performance retrieval …

In this paper we propose an approach to improve video information retrieval by finding the
relationships between ASR tokens and the high-level feature tokens. We employ WordNet …

Semantic search and retrieval of multimedia content is a challenging research field that has
drawn significant attention in the multimedia research community. With the dramatic growth …

The previous video track results demonstrated that it is far from trivial to take advantage of
multiple modalities for the video retrieval search task. For almost any query, results based on …

Video contains multiple types of audio and visual information, which are difficult to extract,
combine or trade-off in general video information retrieval. This paper provides an …

Videos recorded during in-class teaching and made accessible online are a versatile
resource on par with a textbook and the classroom itself. Nonetheless, the adoption of …

In this paper, we present a multimodal web-based user interface for the vitrivr system. vitrivr
is a modern, open-source video retrieval system for searching in large collections of video …

With the improving capabilities of current hardware systems, there are ever growing
possibilities to store and manipulate videos in a digital format, leading to a growing number …

Searching the useful videos rapidly and accurately is a tedious task if a user wants to search
videos from the large repositories. Content-based retrieval is a better option than other text …

Query by example video retrieval aims at automatic retrieval of video samples which are
similar to a user‐provided example from video database. Considering that much of prior …