Due to large amount of frames, similarity between frames and temporal attacks (frame dropping, frame averaging, frame swapping etc.), video watermarking process is more difficult than image watermarking. Current image watermarking methods are not adequate to solve these difficulties. We propose a novel uncompressed video watermarking system based on Hidden Markov Model (HMM) and Artificial Neur...

We present a new user interface, which allows anyone to easily, accurately (true to original) and efficiently annotate objects and faces in videos. We identified two key requirements our annotation tool should aim for: accuracy and time efficiency. Accuracy is achieved by annotating a video as fine-grained as possible. A fine-grained annotation also aids to accurately annotate transient and fas...

The present research focuses on the acquisition and annotation of vocal resources for emotion detection. We are interested in detecting emotions occurring in abnormal situations and particularly in detecting ”fear”. The present study considers a preliminary database of audiovisual sequences extracted from movie fictions. The sequences selected provide various manifestations of target emotions a...

Motion-compensated prediction based on multiple previous or future frames can enhance the compression efficiency of video coding. Multi-frame prediction can be applied as an extension to P-Pictures, but also to B-Pictures in the form of multi-hypothesis prediction. We review recent advances, several of which have been embraced by the ITU-T Rec. H.263 and the emerging JVT/H.26L standard, jointly...

A review of multimedia annotation techniques, in particular image annotation, is presented. The annotation requirements for the Benchmarking workpackage of the MUSCLE EU Network of Excellence are also presented and discussed. A significant contribution is the creation of a keyword vocabulary based on an analysis of keywords used in experiments for testing automated image annotation algorithms a...

This paper proposes the use of unequally protected key pictures to prevent temporal error propagation in error-prone video communications. The key picture may either be an intra-coded picture or a picture using a long-term motion compensation reference picture through reference picture selection. The inter-coded key picture uses previous key pictures as motion compensation reference. Key pictur...

We have designed and implemented a video semantic summarization system, which includes an MPEG-7 compliant annotation interface, a semantic summarization middleware, a real-time MPEG-1/2 video transcoder on PCs, and an application interface on color/black-and-white Palm-OS PDAs. We designed a video annotation tool, VideoAnn, to annotate semantic labels associated with video shots. Videos are fi...

Purpose – A fine-grained video content indexing, retrieval, and adaptation requires accurate metadata describing the video structure and semantics to the lowest granularity, i.e. to the object level. The authors address these requirements by proposing semantic video content annotation tool (SVCAT) for structural and high-level semantic video annotation. SVCAT is a semi-automatic MPEG-7 standard...

Taking a portrait picture is frequently an uncomfortable task for the photographed person, and the resulting shots are in many cases unnatural and unsatisfactory. A common solution is to take a large number of pictures and then select the favorite ones. Instead of a manual selection, an automatic selection of good portraits from a captured video sequence can increase the chances to obtain a ple...