Video retrieval is the process of searching in video based on an analysis of its visual content.
The cause for the general video retrieval problem is the semantic gap: the lack of correspondence between the low-level features that machines extract from the visual signal and the high-level conceptual interpretations a human gives . In order to bridge the gap, many retrieval solutions have been proposed in the past, e.g., by using text, speech, tags, or example images [2, 3]. But the most authentic and cognitive hardest is to type a concept from visual information and to retrieve the images carrying that concept .
- 4.Snoek CGM, Worring M (2009) Concept-based video retrieval. Found Trends Inf Retr 4(2):215–322Google Scholar
- 5.Smeaton AF, Over P, Kraaij W (2006) Evaluation campaigns and TRECVid. In: Proceedings of the ACM SIGMM international workshop on multimedia information retrieval. ACM, New York, pp 321–330Google Scholar