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SIGIR
2004
ACM
14 years 15 days ago
Evaluating content-based filters for image and video retrieval
This paper investigates the level of metadata accuracy required for image filters to be valuable to users. Access to large digital image and video collections is hampered by ambig...
Michael G. Christel, Neema Moraveji, Chang Huang
CIVR
2009
Springer
151views Image Analysis» more  CIVR 2009»
14 years 1 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 se...
Robin Aly, Djoerd Hiemstra, Arjen P. de Vries
CIVR
2008
Springer
138views Image Analysis» more  CIVR 2008»
13 years 9 months ago
Visual islands: intuitive browsing of visual search results
The amount of available digital multimedia has seen exponential growth in recent years. While advances have been made in the indexing and searching of images and videos, less focu...
Eric Zavesky, Shih-Fu Chang, Cheng-Chih Yang
CIVR
2008
Springer
166views Image Analysis» more  CIVR 2008»
13 years 9 months ago
A probabilistic ranking framework using unobservable binary events for video search
Recent content-based video retrieval systems combine output of concept detectors (also known as high-level features) with text obtained through automatic speech recognition. This ...
Robin Aly, Djoerd Hiemstra, Arjen P. de Vries, Fra...
MM
2005
ACM
164views Multimedia» more  MM 2005»
14 years 20 days ago
Automatic discovery of query-class-dependent models for multimodal search
We develop a framework for the automatic discovery of query classes for query-class-dependent search models in multimodal retrieval. The framework automatically discovers useful q...
Lyndon S. Kennedy, Apostol Natsev, Shih-Fu Chang