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ICIP
2006
IEEE
14 years 6 months ago
Perceptual Feature Selection for Semantic Image Classification
Content-based image retrieval has become an indispensable tool for managing the rapidly growing collections of digital images. The goal is to organize the contents semantically, a...
Dejan Depalov, Thrasyvoulos N. Pappas, Dongge Li, ...
CIVR
2003
Springer
156views Image Analysis» more  CIVR 2003»
13 years 9 months ago
Towards a Comprehensive Survey of the Semantic Gap in Visual Image Retrieval
This paper adopts the premise that the ‘semantic gap' is an incompletely surveyed feature in the landscape of visual image retrieval, and proposes a framework within which t...
Peter G. B. Enser, Christine J. Sandom
ICIP
2005
IEEE
14 years 6 months ago
Perceptually optimized MPEG compression of synthetic video sequences
This paper addresses the problem of improving the quality performance of synthetic video sequences by means of standard frame? based coders. The proposed technique can exploit bot...
Enrico Masala, Davide Quaglia
PCM
2004
Springer
120views Multimedia» more  PCM 2004»
13 years 10 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
ICIAP
2003
ACM
14 years 4 months ago
Perceptive visual texture classification and retrieval
In this paper we present some analysis techniques and indexing strategies aimed to support classification and retrieval of textures using only perceptual features. The goal of thi...
Sebastiano Battiato, Giovanni Gallo, Salvatore Nic...