Searching in Video Collections using Sketches and Sample Images - The Cineast System

Luca Rossetto, Ivan Giangreco, Silvan Heller, Claudiu Tănase, and Heiko Schuldt
In Proceedings
Appears in
Proceedings of the 22nd International Conference on Multimedia Modeling (MMM 2016)
Miami, FL, USA

With the increasing omnipresence of video recording devices and the resulting abundance of digital video, finding a particular video sequence in ever-growing collections is more and more becoming a major challenge. Existing approaches to retrieve videos based on their content usually require prior knowledge about the origin and context of a particular video to work properly. Therefore, most state of the art video platforms still rely on text-based retrieval techniques to find desired sequences. In this paper, we present Cineast, a content-based video retrieval engine which retrieves video sequences based on their visual content. It supports Query-by-Example as well as Query-by-Sketch by using a multitude of low-level visual features in parallel. Cineast uses a collection of 200 videos from various genres with a combined length of nearly 20 hrs.


Best Demo Award