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Semantic interface for multimedia browsing. Poster for the demo at ACM Multimedia 2010 International Conference
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Today, media material is increasingly digital and shifting to delivery via IP and the Web,
including cultural artifacts or broadcast television. This opens up the possibility of new
services deriving added value from such material by combining it with other material
elsewhere on the Web which is related to it or enhances it in a meaningful way, to the
benefit of the owner of the original content, the providers of the content enhancing it and
the end consumer who can access and interact with these new services. Since the
services are built around providing new experiences through connecting different related
media together, we consider such services to be Connected Media Experiences
(ConnectME).
In particular, much rich depth of information and service functionality associated to
content in video is not derived today due to a lack of suitably granular description of
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IM3I is a flexible system for managing and publishing multimedia content. It provides a service-oriented architecture allowing multiple views of media stored in repositories. This improves reuse, repurposing, and sharing of rich media. Automatic annotation of audio and video is performed through customizable processing pipelines. Services provide syntactic and semantic annotations. Visual annotation uses Bag-of-Words with MSER, SURF, and SIFT features. An ontology-based search and browsing engine is accessible as a service or through rich interfaces. Other services and interfaces allow tagging and content-based image retrieval. Publishing functions are provided through additional services and interfaces.
High dynamic images between devices and vision limits
Alessandro Rizzi, University of Milan, lecture at Media Integration and Communication Center 10/06/2011
Interactive Video Search and Browsing Systems
The document summarizes an interactive video search and browsing system called Orione. It uses an ontology created from a lexicon and WordNet to provide automatic video annotations using visual features. The system has a web-based interface for simple or advanced searches and browsing video archives by concepts. It also allows manual annotations. The multitouch interface lets users browse the ontology to select concepts and search/organize results with gestures. Usability tests were conducted on the system.
Danthe. Digital and Tuscan heritage
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The document provides a walkthrough of the IM3I multimedia information management platform. It describes several key features of the platform including multi-user video annotation, simple and advanced search, ontology browsing, and an authoring environment. The walkthrough explains how to use each feature through screenshots and step-by-step instructions. It aims to demonstrate the flexibility and customizability of the IM3I platform for managing and exploiting large multimedia archives.
IM3I flyer
IM3I provides a single point of access to manage and publish all types of digital content, including audio, video, and text files stored locally or online. It offers tools for processing, analyzing, indexing, tagging, searching, and publishing multimedia content in an integrated service-oriented environment. IM3I allows users to design flexible interfaces to publish their media in a way that meets their needs, with all changes to content and metadata instantly updating across publication interfaces.
IM3I brochure
IM3I is an immersive multimedia management and publishing platform that provides a framework for searching, summarizing, and visualizing large multimedia archives. It is based on a service-oriented architecture and can integrate a variety of content processing, analysis, indexing, tagging, annotation, search, and publishing services. The platform has been applied in media production workflows, educational content workflows, and for publishing archived content. It allows flexible composition of services into pipelines and custom interfaces to support various content use cases and user roles.
IM3I flyer
The IM3I project addresses the needs of media and communication industries facing advancing technologies and changing media consumption by developing highly customizable interfaces to search, summarize, and visualize large multimedia archives. Funded by the EU, IM3I provides a service-oriented architecture allowing multiple views of media data within repositories for more flexible interaction and sharing of rich media, opening new opportunities for content owners.
PASCAL VOC 2010: semantic object segmentation and action recognition in still...
PASCAL VOC 2010: semantic object segmentation and action recognition in still...Media Integration and Communication Center
In this talk, I will discuss the extensions we have made to our approach to semantic image segmentation. I will show how the results of object detectors and spatial priors can be naturally integrated into our hierarchical conditional random field (HCRF) approach based on the harmony potential. The addition of these extra cues, as well as class-specific normalization of classifier outputs, significantly improves segmentation quality. The harmony potential: fusing local and global information for semantic image...
The harmony potential: fusing local and global information for semantic image...Media Integration and Communication Center
Semantic image segmentation is the process of assigning semantically relevant labels to all pixels in an image. Hierarchical Conditional Random Fields (HCRFs) are a popular and successful approach this problem. One reason for their popularity is their ability to incorporate contextual information at different scales. However, existing HCRF models do not allow multiple labels to be assigned to individual nodes. At higher scales in the image, this results in an oversimplified model, since multiple classes can be reasonable expected to appear within a single region. This simplified model especially limits the impact that observations at larger scales may have on the CRF model. Furthermore, neglecting the information at larger scales is undesirable since class-label estimates based on these scales are more reliable than at smaller, noisier scales.MediaPick
MediaPick is a tangible semantic media retrieval system that allows users to browse concepts from an ontology structure to search for and retrieve video results from large media libraries. It uses a multi-touch overlay screen to detect gestures for interacting with the results. The system exploits a search engine and semantic reasoning to retrieve and organize related multimedia content based on the user's queries and gestures.
Vidivideo and IM3I
Presentation held by Marco Bertini at the first EUscreen Open Workshop in Mykonos, Greece, on June 23 and 24, 2010 on the Videivideo and IM3I projects
Accurate Evaluation of HER-2 Ampli cation in FISH Images Poster at Internatio...
Accurate Evaluation of HER-2 Ampli cation in FISH Images Poster at Internatio...Media Integration and Communication Center
This document describes a method for accurately evaluating HER-2 amplification in fluorescence in situ hybridization (FISH) images. The method involves extracting nuclei from FISH images, assigning each nucleus a reliability score based on shape and size compliance with a template model, and computing the ratio of HER-2 to CEP-17 markers only using the most reliable nuclei. The method was tested on a dataset of 40 FISH images classified by experts into categories of HER-2 amplification. Using a training set to determine an optimal reliability score threshold maximized classification accuracy evaluated on a test set.More from Media Integration and Communication Center (14)
ORUSSI: Optimal Road sUrveillance based on Scalable vIdeo
ORUSSI: Optimal Road sUrveillance based on Scalable vIdeo
High dynamic images between devices and vision limits
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PASCAL VOC 2010: semantic object segmentation and action recognition in still...
PASCAL VOC 2010: semantic object segmentation and action recognition in still...
The harmony potential: fusing local and global information for semantic image...
The harmony potential: fusing local and global information for semantic image...
Accurate Evaluation of HER-2 Ampli cation in FISH Images Poster at Internatio...
Accurate Evaluation of HER-2 Ampli cation in FISH Images Poster at Internatio...
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
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