In this paper, we provide a new formulation for video queries as structured combination of concept
threads, contributing to the general query-by-concept paradigm. Occupying a low-dimensional region
in the concept space, concept thread defines a ranked list of video documents ordered by their combined
concept predictions. This localized representation incorporates the previous concept based formulation
as a special case and extends the restricted AND concept combination logic to a two-level concept inference
network. We apply this new formulation to interactive video retrieval and utilize abundant feedback
information to mine the latent semantic concept threads for answering complex query semantics. Simulative
experiments which are conducted on two years’ TRECVID data sets with two sets of concept lexicons
demonstrate the advantage of the proposed formulation. The proposed query formulation offers
some 60% improvements over the simple browsing search baseline in nearly real time. It has clear advantages
over c-tf-idf and achieves better results over the state-of-the-art online ordinal reranking approach.
Meanwhile, it not only alleviates user’s workload significantly but also is robust to user mislabeling
errors.
@Article{WangJVCIR2009,
author = "Wang, D. and Wang, Z. and Li, J. and Zhang, B.
and Li, X.",
title = "Query Representation by Structured Concept Threads with Applications to Interactive Video Retrieval",
journal = "Journal of Visual Communication and Image Representation",
number = "2",
volume = "20",
pages = "104--116",
year = "2009",
url = "https://ivi.fnwi.uva.nl/isis/publications/2009/WangJVCIR2009",
pdf = "https://ivi.fnwi.uva.nl/isis/publications/2009/WangJVCIR2009/WangJVCIR2009.pdf",
has_image = 1
}