In this paper, PANORAMA, an integrated system for digitization, annotation, storage and retrieval of audiovisual data and their associated description is presented. The information model has been heavily influenced by the evolving MPEG-7 standard for description of multimedia content. XML schema has been used for defining the data structures and XML for representation of content – related infor...

K-Space integrates leading European research teams to create a Network of Excellence in semantic inference for semi-automatic annotation and retrieval of multimedia content. The aim is to narrow the gap between content descriptors that can be computed automatically by current machines and algorithms, and the richness and subjectivity of semantics in high-level human interpretations of audiovisu...

In order to provide automatic ontology-based multimedia annotation for producing linked data, scalable high-level media interpretation processes are required. In this paper we shortly describe an abductive media interpretation agent, and based on a Multimedia Content Ontology we introduce partitioning techniques for huge sets of time-related annotation assertions such that interpretation as wel...

This paper studies Latent Semantic Analysis (LSA) between visual and textual elements of a multimedia collection, applied on two different tasks: (1) multimedia document retrieval (MDR) and (2) automatic image annotation (AIA). Latent semantics, usually used for text indexing, is applied to discover hidden semantic relations between visual and textual descriptors. The contributions of this pape...

In this paper, we claim that the CAMOMILE collaborative annotation platform (developed in the framework of the eponymous CHIST-ERA project) eases the organization of multimedia technology benchmarks, automating most of the campaign technical workflow and enabling collaborative (hence faster and cheaper) annotation of the evaluation data. This is demonstrated through the successful organization ...

Collaborative tagging systems have become rather popular for annotating any kind of resources ranging from electronic documents to real world objects. In current tagging systems resources as a whole are annotated with and referenced by user defined tags. For multimedia data, as e. g. for video data, single scenes can be identified and annotated by using MPEG-7 metadata. We propose a collaborati...

A new generation of tablet computers has stimulated end-user interest on annotating documents by making pen-based commentary and spoken audio labels to otherwise static documents. The typical application scenario for most annotation systems is to convert existing content to a (virtual) image, capture annotation mark-up, and to then save the annotations is a database. While this is often accepta...

The popularity of online social media has provided a huge repository of multimedia contents. To effectively retrieve and store this multimedia content and to mine useful pattern from this data is a herculean task. This paper deals with the problems of social image tagging. Multimedia tagging i.e. assigning tags or some keywords to multimedia contents like images, audio, video etc. by users is r...

One of the characteristics of this age information and knowledge age is information overload and increase in multimedia information. Managing the increasing growth of multimedia information still poses some problems. The challenge is to propose relevant information to users among the large volume of multimedia information. Our approach consists in exploiting context awareness and annotation pro...

The tremendous growth in video data calls for efficient and flexible access mechanisms. In this paper, we propose an ontology-driven framework for presentation video annotation and access. The goal is to integrate ontology into video systems to improve users’ video access experience. To realize ontology-driven video annotation, the first and foremost step is video segmentation. Current research...