publication . Article . Conference object . Other literature type . 2017

Query And Keyframe Representations For Ad-Hoc Video Search

Ionescu, Bogdan; Sebe, Nicu; Feng, Jiashi; Larson, Martha; Lienhart, Rainer; Snoek, Cees; Markatopoulou, Foteini; Galanopoulos, Damianos; Mezaris, Vasileios; Patras, Ioannis;
Open Access
  • Published: 06 Jun 2017
  • Publisher: Zenodo
Abstract
<p>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 s...
Subjects
free text keywords: video concept detection, textual query analysis, Video search, Zero-shot learning, Visual analysis, Uncategorized, zenodo, Zero shot learning, Query expansion, Concept search, Video tracking, Information retrieval, Query analysis, Computer science, Web search query, Embedding, TRECVID
Funded by
EC| MOVING
Project
MOVING
Training towards a society of data-savvy information professionals to enable open leadership innovation
  • Funder: European Commission (EC)
  • Project Code: 693092
  • Funding stream: H2020 | RIA
,
EC| InVID
Project
InVID
In Video Veritas – Verification of Social Media Video Content for the News Industry
  • Funder: European Commission (EC)
  • Project Code: 687786
  • Funding stream: H2020 | IA
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Zenodo
Other literature type . 2017
Provider: Datacite
ZENODO
Conference object . 2017
Provider: ZENODO
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