Tokenflow: Consistent diffusion features for consistent video editing
The generative AI revolution has recently expanded to videos. Nevertheless, current state-of-
the-art video models are still lagging behind image models in terms of visual quality and …
the-art video models are still lagging behind image models in terms of visual quality and …
Unsupervised learning of human action categories using spatial-temporal words
We present a novel unsupervised learning method for human action categories. A video
sequence is represented as a collection of spatial-temporal words by extracting space-time …
sequence is represented as a collection of spatial-temporal words by extracting space-time …
Space-time completion of video
This paper presents a new framework for the completion of missing information based on
local structures. It poses the task of completion as a global optimization problem with a well …
local structures. It poses the task of completion as a global optimization problem with a well …
Summarizing visual data using bidirectional similarity
D Simakov, Y Caspi, E Shechtman… - 2008 IEEE conference …, 2008 - ieeexplore.ieee.org
We propose a principled approach to summarization of visual data (images or video) based
on optimization of a well-defined similarity measure. The problem we consider is re-targeting …
on optimization of a well-defined similarity measure. The problem we consider is re-targeting …
Vision-based action recognition of earthmoving equipment using spatio-temporal features and support vector machine classifiers
Video recordings of earthmoving construction operations provide understandable data that
can be used for benchmarking and analyzing their performance. These recordings further …
can be used for benchmarking and analyzing their performance. These recordings further …
Full-frame video stabilization with motion inpainting
Video stabilization is an important video enhancement technology which aims at removing
annoying shaky motion from videos. We propose a practical and robust approach of video …
annoying shaky motion from videos. We propose a practical and robust approach of video …
Fast image and video denoising via nonlocal means of similar neighborhoods
M Mahmoudi, G Sapiro - IEEE signal processing letters, 2005 - ieeexplore.ieee.org
In this letter, improvements to the nonlocal means image denoising method introduced by
Buades et al. are presented. The original nonlocal means method replaces a noisy pixel by …
Buades et al. are presented. The original nonlocal means method replaces a noisy pixel by …
Space-time video completion
We present a method for space-time completion of large space-time" holes" in video
sequences of complex dynamic scenes. The missing portions are filled-in by sampling …
sequences of complex dynamic scenes. The missing portions are filled-in by sampling …
A hierarchical model of shape and appearance for human action classification
JC Niebles, L Fei-Fei - 2007 IEEE Conference on computer …, 2007 - ieeexplore.ieee.org
We present a novel model for human action categorization. A video sequence is
represented as a collection of spatial and spatial-temporal features by extracting static and …
represented as a collection of spatial and spatial-temporal features by extracting static and …
[图书][B] Handbook of texture analysis
M Mirmehdi - 2008 - books.google.com
Texture analysis is one of the fundamental aspects of human vision by which we
discriminate between surfaces and objects. In a similar manner, computer vision can take …
discriminate between surfaces and objects. In a similar manner, computer vision can take …