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The ability to characterize a film, in terms of its narrative and style, is becoming a necessity especially for developing personal video recommendation systems to better deliver on-demand Internet streaming media. Among the set of identifiable stylistic features which play an important role in the film's emotional effects, the use of Over-the-shoulder (OtS) shots in movies is able to convey a big...
Video Content-Based Copy Detection (CBCD) is an emergent research field which is targeted to the identification of modified copies of an original clip in a given dataset, e.g., on the Internet. As opposed to digital watermarking, the content itself is used to uniquely identify the video through the extraction of features that need to be robust against a certain set of predetermined video attacks....
Content-Based Copy Detection (CBCD) of digital videos is an important research field that aims at the identification of modified copies of an original clip, e.g., on the Internet. In this application, the video content is uniquely identified by the content itself, by extracting some compact features that are robust to a certain set of video transformations. Given the huge amount of data present in...
Structural information, on the form of shot patterns and timing, plays an important role in scripted video, being consistently used by filmmakers as a way to convey meaning and significance into their work. For this reason, a video retrieval system can benefit from exploiting this kind of information. In this paper we propose a novel method for the retrieval of video scenes according to their structural...
This paper presents a multiscale feature extraction technique for 3D range images. Optimized and improved 3D Gaussian filtering and saliency map computation have been conceived jointly to the exploitation of connectivity relationships naturally induced by the 2D acquisition grid. The proposed algorithmic and implementation solutions guarantee good repeatability of detected features on different views...
In video content analysis, growing research effort aims at characterising a specific type of unedited content, called rushes. This raw material, used by broadcasters and film studios for editing video programmes, usually lies un-annotated in a huge database. In this work we aim at retrieving a desired type of rush by representing the whole database content in a multimodal space. Each rush content...
In this work we propose a fully automatic system for bone age evaluation, according to the Tanner and Whitehouse method (TW2), based on the integration between EMROI and CROI analysis, which ensures accurate bone age assessment for the entire age range (0-10). For both approaches novel segmentation techniques will be proposed. In detail, for the CROI analysis the bones extraction has been carried...
With the increasing popularity of repositories of personal images, the problem of effective encoding and retrieval of similar image collections has become very important. In this paper we propose an efficient method for the joint scalable encoding of image-data and visual-descriptors, applied to collections of similar images. From the generated compressed bit stream, it is possible to extract and...
In the current video analysis scenario, effective clustering of shots facilitates the access to the content and helps in understanding the associated semantics. This paper introduces a cluster analysis on shots which employs dendrogram representation to produce hierarchical summaries of the video document. Vector quantization codebooks are used to represent the visual content and to group the shots...
In this work, we propose an intuitive graphic framework for the effective visualization of MPEG-7 low-level features, in the context of classification and annotation of audio-visual documents. This graphic tool is proposed to facilitate the access to the content, and to improve a quick understanding of the semantics associated to the considered document. The main visualization paradigm employed consists...
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