Attentional mechanisms for video retargeting and 3D compressive processing
نویسندگان
چکیده
منابع مشابه
Computational video: post-processing methods for stabilization, retargeting and segmentation
We address a variety of challenges for analysis and enhancement of Computational Video. We present novel post-processing methods to bridge the difference between professional and casually shot videos mostly seen on online sites. Our research presents solutions to three well-defined problems: (1) Video stabilization and rolling shutter removal in casually-shot, uncalibrated videos; (2) Content-a...
متن کاملMosaic-guided Video Retargeting for Video Adaptation
Video retargeting from a full-resolution video to a lower-resolution display will inevitably cause information loss. Content-aware video retargeting techniques have been studied to avoid critical visual information loss while resizing a video. In this paper, we propose a mosaic-guided video retargeting scheme to ensure good spatio-temporal coherence of the downscaled video. Besides, a rate-dist...
متن کاملSurveillance Video Processing Using Compressive Sensing
A compressive sensing method combined with decomposition of a matrix formed with image frames of a surveillance video into low rank and sparse matrices is proposed to segment the background and extract moving objects in a surveillance video. The video is acquired by compressive measurements, and the measurements are used to reconstruct the video by a low rank and sparse decomposition of matrix....
متن کاملRig retargeting for 3D animation
This paper presents a new approach to facilitate reuse and remixing in character animation. It demonstrates a method for automatically adapting existing skeletons to different characters. While the method can be applied to simple skeletons, it also proposes a new approach that is applicable to high quality animation as it is able to deal with complex skeletons that include control bones (those ...
متن کاملContent-Aware Retargeting For Soccer Video Adaptation
A content-aware retargeting method is proposed for adapting soccer video to heterogeneous terminals. According to domain-specific knowledge, ball, player and player’s face are defined as user interested objects (UIOs) in different view-types. The UIOs are extracted by semantic analysis on soccer video, and then a region of interest (ROI) of each shot is determined jointly by three factors: term...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Journal of the Korean Institute of Information and Communication Engineering
سال: 2011
ISSN: 2234-4772
DOI: 10.6109/jkiice.2011.15.4.943