This paper presents the first version of our platform for automatically building the structure of a video sequence. The first application uses semi-automatic tools based only on image analysis for building interactive videos: decomposing the video into shots, extracting and tracking objects within each shot and linking occurrences of similar objects among the shots. The second application provi...

Distributed acoustic sensing (DAS) fibers have enabled various geophysical applications in unconventional reservoirs. Combined with perforation shots, a DAS fiber can record valuable guided waves that propagate the reservoir formation and carry information about its properties. However, representation of shots as seismic sources, needed to conduct quantitative analysis, remains unknown. We mode...

This dissertation involves prototyping an interface which enables children to edit video in order to create simple stories. The editing will be carried out by manipulating graphical representations of the content of various short sequences of video (pre-defined by the programmer). The system will present the child with a brief description of the story to be created. The child then specifies a s...

This paper describes our contribution to the TREC 2002 video analysis track. We participated in the shot detection task and in the feature extraction task (features indoors and outdoors). The shot detection approach is based on histogram differences and uses adaptive thresholds. Multiple detected shot boundaries that follow each other within a short temporal interval are grouped together and cl...

In this paper, we propose a video model to generate VBR MPEG video traffic based on the scene content description. Long sessions of nonhomogeneous video clips are decomposed into homogeneous video shots. The shots are then classified into different classes in terms of their texture and motion complexity. Each shot class was uniquely described with an autoregressive model. Transitions between th...

In this paper, we describe our approach and results for the semantics indexing (SIN) task and Multimedia event detection (MED) task at TRECVID2012. In our run of SIN task, we used three features, spatio-temporal (ST) features, SURF and color features. This year, we use all frame to extract features. This run used Multiple Kernel Learning as a fusion method to combine all these features in the s...