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» Using High-Level Semantic Features in Video Retrieval
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ICIP
2010
IEEE
14 years 7 months ago
Image retrieval with feature selection and relevance feedback
This paper proposes a new content based image retrieval (CBIR) system combined with relevance feedback and the online feature selection procedures. A measure of inconsistency from...
Yu Sun, Bir Bhanu
ICASSP
2011
IEEE
14 years 1 months ago
Video aesthetic quality assessment by combining semantically independent and dependent features
This paper aims to accomplish the work of assessing the aesthetic quality of a video. Unlike previous assessing works focusing mainly on the extraction of aesthetic features in a ...
Chun-Yu Yang, Hsin-Ho Yeh, Chu-Song Chen
90
Voted
PCM
2004
Springer
120views Multimedia» more  PCM 2004»
15 years 3 months ago
Region-Based Image Retrieval with Perceptual Colors
Due to the ‘semantic gap’ between low-level visual features and the rich semantics in user’s mind, performance of traditional contentbased image retrieval systems is far from...
Ying Liu, Dengsheng Zhang, Guojun Lu, Wei-Ying Ma
CIVR
2004
Springer
205views Image Analysis» more  CIVR 2004»
15 years 1 months ago
Finding Person X: Correlating Names with Visual Appearances
People as news subjects carry rich semantics in broadcast news video and therefore finding a named person in the video is a major challenge for video retrieval. This task can be ac...
Jun Yang 0003, Ming-yu Chen, Alexander G. Hauptman...
ICMCS
2008
IEEE
164views Multimedia» more  ICMCS 2008»
15 years 4 months ago
Semantic event detection for consumer photo and video collections
The automatic detection of semantic events in users’ image and video collections is an important technique for content management and retrieval. In this paper we propose a novel...
Wei Jiang, Alexander C. Loui