The Search and Anchoring in Video Archives (SAVA) task at MediaEval 2015 consists of two sub-tasks: (i) search for multimedia content within a video archive using multimodal queries referring to information contained in the audio and visual streams/content, and (ii) automatic selection of video segments within a list of videos that can be used as anchors for further hyperlinking within the archive. The task used a collection of roughly 2700 hours of the BBC broadcast TV material for the former sub-task, and about 70 files taken from this collection for the latter sub-task. The search subtask is based on an ad-hoc retrieval scenario, and is evaluated using a pooling procedure across participants submissions with crowdsourcing relevance assessment using Amazon Mechanical Turk (MTurk). The evaluation used metrics that are variations of MAP adjusted for this task. For the anchor selection sub-task overlapping regions of interest across participants submissions were assessed using MTurk workers, and mean reciprocal rank (MRR), precision and recall were calculated for evaluation.

Metadata & Context

Eskevich, M., Aly, R., Ordelman, R., Racca, D., Chen, S., & Jones, G. (2015). SAVA at MediaEval 2015: Search and Anchoring in Video Archives. In Working Notes Proceedings of the MediaEval 2015 Workshop, Wurzen, Germany, September 14-15, 2015.