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» Video retrieval using speech and image information
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ICMCS
2010
IEEE
159views Multimedia» more  ICMCS 2010»
15 years 7 months ago
Wide range image sensing using a thrown-up camera
In this paper, we propose a wide-range image sensing method using a camera thrown up into the air. By using camera thrown up in this way, we can get images that are otherwise diff...
Toshitaka Kuwa, Yoshihiro Watanabe, Takashi Komuro...
SPIESR
1998
195views Database» more  SPIESR 1998»
15 years 8 months ago
Relevance Feedback Techniques in Interactive Content-Based Image Retrieval
Content-Based Image Retrieval (CBIR) has become one of the most active research areas in the past few years. Many visual feature representations have been explored and many system...
Yong Rui, Thomas S. Huang, Sharad Mehrotra
ICPR
2004
IEEE
16 years 7 months ago
Face Detection Using Discriminating Feature Analysis and Support Vector Machine in Video
This paper presents a novel face detection method in video by using Discriminating Feature Analysis (DFA) and Support Vector Machine (SVM). Our method first incorporates temporal ...
Chengjun Liu, Peichung Shih
MM
2005
ACM
112views Multimedia» more  MM 2005»
16 years 5 days ago
MediaMill: exploring news video archives based on learned semantics
In this technical demonstration we showcase the MediaMill system. A search engine that facilitates access to news video archives at a semantic level. The core of the system is an ...
Cees Snoek, Marcel Worring, Jan van Gemert, Jan-Ma...
PRL
2008
143views more  PRL 2008»
15 years 6 months ago
An active feedback framework for image retrieval
In recent years, relevance feedback has been studied extensively as a way to improve performance of content-based image retrieval (CBIR). Since users are usually unwilling to prov...
Tao Qin, Xu-Dong Zhang, Tie-Yan Liu, De-Sheng Wang...