This paper models the complexity consumption of entropy decoding in a H.264 decoder, which includes many modes such as fix-length code (FLC), variable-length code (ExpGolomb code ...
This paper introduces a novel way to leverage the implicit geometry of sparse local features (e.g. SIFT operator) for the purposes of object detection and segmentation. A two-clas...
Two Dimensional Hidden Markov Models (2D-HMMs) provide substantial benefits for many computer vision and image analysis applications. Many fundamental image analysis problems, inc...
Mehmet Emre Sargin, Alphan Altinok, Kenneth Rose, ...
3D Brain SPECT imagery is a well established functional imaging method which has become a great help to physicians in the diagnosis of several neurological and cerebrovascular dis...
Said Benameur, Max Mignotte, Jean-Paul Soucy, Jean...
In this paper, we consider compensation of focus mismatches for frames that are encoded with inter-view bi-prediction (B-frames) in multiview coding (MVC). We start with an analys...
PoLin Lai, Antonio Ortega, Purvin Pandit, Peng Yin...
This paper introduces a new feature-based technique for implicitly modelling objects in visual surveillance. Previous work has generally employed background subtraction and other ...
The image sensor measurements are subject to degradation caused by the photon and electron leakage. The color image data acquired via a spatial subsampling procedure implemented a...
This paper presents a content-based approach for temporal segmentation of videos. Tracked objects are characterized by their 2D trajectories which are used in a meaningful way to ...
Alexandre Hervieu, Patrick Bouthemy, Jean-Pierre L...
In this paper a new content-based copy identification method for video sequences is presented. It is robust to a number of image transformations and particulary robust to compress...
Ehsan Maani, Sotirios A. Tsaftaris, Aggelos K. Kat...