Results 261 to 270 of about 630,838 (311)
Some of the next articles are maybe not open access.
Cosegmentation for Image Sequences
14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007We present a generative model to perform cosegmentation on an arbitrary number of images, where cosegmentation has been defined as the task of segmenting simultaneously the common parts between a pair of images. We build upon a previous work that introduced a new approach to model-based clustering under prior knowledge, and exploit its simplicity and ...
Dong Seon Cheng, Mario Figueiredo
openaire +2 more sources
Color correction for an image sequence
IEEE Computer Graphics and Applications, 1993The color correction technique presented constructs a mapping from the registered overlapping regions of two adjacent images in an image sequence. The method involves two main steps. In the first step we use multiple regression to find the relationship between the registered overlapping regions of two adjacent images in the sequence.
Binh Pham 0001, Glen Pringle
openaire +1 more source
CLUSTERING MULTIPLE IMAGE SEQUENCES WITH A SEQUENCE-TO-SEQUENCE SIMILARITY MEASURE
International Journal of Pattern Recognition and Artificial Intelligence, 2005We propose a novel similarity measure of two image sequences based on shapeme histograms. The idea of shapeme histogram has been used for single image/texture recognition, but is used here to solve the sequence-to-sequence matching problem. We develop techniques to represent each sequence as a set of shapeme histograms, which captures different ...
Ying Shan, Harpreet S. Sawhney, Art Pope
openaire +1 more source
Reflection detection in image sequences
CVPR 2011, 2011Reflections in image sequences consist of several layers superimposed over each other. This phenomenon causes many image processing techniques to fail as they assume the presence of only one layer at each examined site e.g. motion estimation and object recognition.
Mohamed Abdelaziz Ahmed +2 more
openaire +1 more source
The Visual Computer, 1993
We present an algorithm for the halftoning of greyscale image sequences. This facilitates the display of video sequences on black-and-white visual displays (e.g., high-qualityX-terminals) for multimedia applications. The main problem to be overcome when halftoning sequences is the temporal flicker between successive images.
openaire +1 more source
We present an algorithm for the halftoning of greyscale image sequences. This facilitates the display of video sequences on black-and-white visual displays (e.g., high-qualityX-terminals) for multimedia applications. The main problem to be overcome when halftoning sequences is the temporal flicker between successive images.
openaire +1 more source
Multiview image sequence enhancement
SPIE Proceedings, 2015Realistic visualization is crucial for more intuitive representation of complex data, medical imaging, simulation and entertainment systems. Multiview autostereoscopic displays are great step towards achieving complete immersive user experience. However, providing high quality content for this type of displays is still a great challenge.
Ljubomir Jovanov +3 more
openaire +1 more source
Nature, 1994
Digital imaging spectrophotometers can simultaneously measure the spectra of hundreds of features in a two-dimensional scene. While a variety of applications can be anticipated, a colorimetric analysis of mutants expressing pigmented proteins has already led to the development of efficient algorithms for optimizing combinatorial mutagenesis.
openaire +2 more sources
Digital imaging spectrophotometers can simultaneously measure the spectra of hundreds of features in a two-dimensional scene. While a variety of applications can be anticipated, a colorimetric analysis of mutants expressing pigmented proteins has already led to the development of efficient algorithms for optimizing combinatorial mutagenesis.
openaire +2 more sources
2021
Previous chapters have laid out the foundations of AI for us in terms of the overall training process. We have an insight into the expressive power of deep neural networks, for which we used FFN with several hidden layers of neurons which are fully connected. Before the dawn of AI, shallow FFNs with one hidden layer were used in the feature space by ML
openaire +1 more source
Previous chapters have laid out the foundations of AI for us in terms of the overall training process. We have an insight into the expressive power of deep neural networks, for which we used FFN with several hidden layers of neurons which are fully connected. Before the dawn of AI, shallow FFNs with one hidden layer were used in the feature space by ML
openaire +1 more source
Autonomic image sequence processing
Integrated Computer-Aided Engineering, 2006Implementing image-processing systems can require significant effort and resources due to information volume and algorithm complexity. Autonomic behavior is required for many image processing systems to perform consistently under real-world conditions. Model Integrated Computing (MIC) based image processing systems show promise in supporting solutions ...
Jim Nichols, Ted Bapty
openaire +1 more source
Estimating motion in image sequences
IEEE Signal Processing Magazine, 1999We have reviewed the estimation of 2D motion from time-varying images, paying particular attention to the underlying models, estimation criteria, and optimization strategies. Several parametric and nonparametric models for the representation of motion vector fields and motion trajectory fields have been discussed.
Christoph Stiller, Janusz Konrad
openaire +1 more source