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Query and Keyframe Representations for Ad-hoc Video Search

descriptionPublicationkeyboard_double_arrow_right Conference object 06 Jun 2017Zenodo

Foteini Markatopoulou; Damianos Galanopoulos; Vasileios Mezaris; Ioannis Patras;

doi: 10.5281/zenodo.809937 , 10.5281/zenodo.809936 , 10.1145/3078971.3079041

Query and Keyframe Representations for Ad-hoc Video Search

- Summary
- Subjects
- Metrics

Abstract

This paper presents a fully-automatic method that combines video concept detection and textual query analysis in order to solve the problem of ad-hoc video search. We present a set of NLP steps that cleverly analyse different parts of the query in order to convert it to related semantic concepts, we propose a new method for transforming concept-based keyframe and query representations into a common semantic embedding space, and we show that our proposed combination of concept-based representations with their corresponding semantic embeddings results to improved video search accuracy. Our experiments in the TRECVID AVS 2016 and the Video Search 2008 datasets show the effectiveness of the proposed method compared to other similar approaches.

Related Organizations

Queen Mary University of London
United Kingdom
Information Technology Institute
Egypt

Subjects by Vocabulary

Microsoft Academic Graph classification: Information retrieval Video tracking TRECVID Computer science Set (abstract data type) Concept search Query expansion Embedding Space (commercial competition) Web search query

Keywords

Video search, Zero-shot learning, Visual analysis, video concept detection, textual query analysis

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	36
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

Usage byUsageCounts

visibility	views	249
download	downloads	162

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	36
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average