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CIVR
2009
Springer

Reusing annotation labor for concept selection

9 years 4 months ago
Reusing annotation labor for concept selection
Describing shots through the occurrence of semantic concepts is the first step towards modeling the content of a video semantically. An important challenge is to automatically select the right concepts for a given information need. For example, systems should be able to decide whether the concept “Outdoor” should be included into a search for “Street Basketball”. In this paper we provide an innovative method to automatically select concepts for an information need. To achieve this, we provide an estimation for the occurrence probability of a concept in relevant shots, which helps us to quantify the helpfulness of a concept. Our method reuses existing training data which is annotated with concept occurrences to build a text collection. Searching in this collection with a text retrieval system and knowing about the concept occurrences allows us to come up with a good estimate for this probability. We evaluate our method against a concept selection benchmark and search runs on b...
Robin Aly, Djoerd Hiemstra, Arjen P. de Vries
Added 26 May 2010
Updated 26 May 2010
Type Conference
Year 2009
Where CIVR
Authors Robin Aly, Djoerd Hiemstra, Arjen P. de Vries
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