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ICIP
1999
IEEE
14 years 5 months ago
A Neural Network Approach to Interactive Content-Based Retrieval of Video Databases
A neural network scheme is presented in this paper for adaptive video indexing and retrieval. First, a limited but characteristic amount of frames are extracted from each video sc...
Nikolaos D. Doulamis, Anastasios D. Doulamis, Stef...
ICPR
2000
IEEE
13 years 8 months ago
Automatic Genre Identification for Content-Based Video Categorization
Thispaper presents a set of computationalfeatures originatingfrom our study of editing effects, motion, and color used in videos,for the task of automatic video categorization. Th...
Ba Tu Truong, Svetha Venkatesh, Chitra Dorai
MTA
2000
165views more  MTA 2000»
13 years 4 months ago
Approximating Content-Based Object-Level Image Retrieval
Object-level image retrieval is an active area of research. Given an image, a human observerdoesnot see randomdots of colors. Rather,he she observesfamiliarobjectsin the image. The...
Wynne Hsu, Tat-Seng Chua, Hung Keng Pung
CIVR
2007
Springer
231views Image Analysis» more  CIVR 2007»
13 years 10 months ago
Classification of video events using 4-dimensional time-compressed motion features
Among the various types of semantic concepts modeled, events pose the greatest challenge in terms of computational power needed to represent the event and accuracy that can be ach...
Alexander Haubold, Milind R. Naphade
CVPR
2007
IEEE
14 years 6 months ago
Multi-Object Tracking Using Color, Texture and Motion
In this paper, we introduce a novel real-time tracker based on color, texture and motion information. RGB color histogram and correlogram (autocorrelogram) are exploited as color ...
Matti Pietikäinen, Valtteri Takala