{"title":"Digitization and Multispectral Analysis of Historical Books and Archival Documents: Two Exemplary Cases","authors":"G. Maino","doi":"10.1109/ICIAPW.2007.23","DOIUrl":"https://doi.org/10.1109/ICIAPW.2007.23","url":null,"abstract":"A multispectral digital system, recently developed at the ENEA laboratories in Bologna and applied to the investigation of many artistic and archaeological works, is presented, ranging from infrared radiation to visible light and ultraviolet fluorescence, in order to perform suitable analyses of paintings in illuminated codes, parchments, books and documents in historical archives, etc., preliminary to any restoration or cleaning. Relevant software for multispectral image analysis and digital restoration has been developed associated with and complementary to this hardware system and applied to a few cases of main historical interest, namely the Marsili 's archive in the Biblioteca Universitaria of Bologna and incunaboli and cinquecentine in the library of Minori Osservanti in Bologna and the XVI century books in the Library of Padri Minimi ofPaola in Calabria (Italy).","PeriodicalId":114866,"journal":{"name":"14th International Conference of Image Analysis and Processing - Workshops (ICIAPW 2007)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131947719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design and Development of a Digital Archive of Illuminated Manuscripts","authors":"M. Agosti, N. Ferro, N. Orio","doi":"10.1109/ICIAPW.2007.21","DOIUrl":"https://doi.org/10.1109/ICIAPW.2007.21","url":null,"abstract":"The aim of this paper is to report the research results of an ongoing project that deals with the exploitation of a digital archive of drawings and illustrations of historic documents for research and educational purposes. According to the results on a study of user requirements, we have designed tools to provide researchers with innovative ways for accessing the digital manuscripts, sharing, and transferring knowledge in a collaborative environment. We have found that the results of scientific research on the relationships between images of manuscripts produced over the centuries can be rendered explicit by using annotations. The methodology has been implemented by a prototype system that is currently used by researchers in the field of illuminated manuscripts.","PeriodicalId":114866,"journal":{"name":"14th International Conference of Image Analysis and Processing - Workshops (ICIAPW 2007)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128243363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Semantic Video Segmentation Using Probabilistic Relaxation","authors":"A. Jacobs, G. Ioannidis","doi":"10.1109/ICIAPW.2007.40","DOIUrl":"https://doi.org/10.1109/ICIAPW.2007.40","url":null,"abstract":"In this paper we propose a method for temporal segmentation of strongly structured videos on a semantic level. The proposed method is based on a naive Bayes classifier on low level visual features, followed by a two-stage probabilistic relaxation process. The first stage relaxation is on successive video frames that have been classified with the naive Bayes classifier into structural tokens and aims to improve the initial classification result. The second relaxation process is applied on successive video segments and uses knowledge from temporal relations of structural tokens that are characteristic for each broadcasting format and results so to the video segmentation on a semantic level. The experiments carried out, show that the proposed method can be successfully applied to magazine broadcastings.","PeriodicalId":114866,"journal":{"name":"14th International Conference of Image Analysis and Processing - Workshops (ICIAPW 2007)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114556612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Video-Browsing-Enhanced Personal Video Recorder","authors":"Ajay Divakaran, I. Otsuka","doi":"10.1109/ICIAPW.2007.10","DOIUrl":"https://doi.org/10.1109/ICIAPW.2007.10","url":null,"abstract":"We present the world's first highlights-playback-capable hard disk drive (HDD)-enhanced DVD recorder (personal video recorder-PVR). It automatically detects highlights in sports video by detecting portions with a mixture of the commentator's excited speech and cheering, using Gaussian mixture models (GMM's) trained using the MDL criterion. Our computation is carried out directly on the MDCT coefficients from the AC-3 coefficients thus giving us a tremendous speed advantage. Our accuracy of detection of sports highlights is high across a variety of sports. Our user-study shows that viewers like the new functionality even if it makes mistakes. Finally, we propose genre-independent temporal segmentation of non-sports content using computationally inexpensive audio-visual features. Such segmentation enables \"smart skipping, \"from one semantic unit to another.","PeriodicalId":114866,"journal":{"name":"14th International Conference of Image Analysis and Processing - Workshops (ICIAPW 2007)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123042757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fast and Effective Features for Recognizing Recurring Video Clips in Very Large Databases","authors":"I. Dohring, R. Lienhart","doi":"10.1109/ICIAPW.2007.26","DOIUrl":"https://doi.org/10.1109/ICIAPW.2007.26","url":null,"abstract":"Three different frame features (color patches, color coherence vectors, and gradient histograms) are investigated for their suitability to recognize recurring video clips in very large databases. They are evaluated in a real-time processing and real-time recognition system. Real-time recognition means that each clip must be recognized one second after its start. As the experimental results show, only gradient histograms work satisfactorily across different video material with the same video domain independent parameter set. For instance, they are - in contrast to color features - not negatively affected by dark frame sequences in video clips and the live video stream. By means of pre- computation and subsequent table look-ups, gradient histograms can be implemented such that their computational costs come very close to that of color features.","PeriodicalId":114866,"journal":{"name":"14th International Conference of Image Analysis and Processing - Workshops (ICIAPW 2007)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122015353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
E. Ardizzone, L. Gatani, M. Cascia, G. Re, M. Ortolani
{"title":"Notice of Violation of IEEE Publication PrinciplesDistributed Multimedia Digital Libraries on Peer-to-Peer Networks","authors":"E. Ardizzone, L. Gatani, M. Cascia, G. Re, M. Ortolani","doi":"10.1109/ICIAPW.2007.24","DOIUrl":"https://doi.org/10.1109/ICIAPW.2007.24","url":null,"abstract":"This paper presents an original approach to image sharing in large, distributed digital libraries, in which a user is able to interactively search interesting resources by means of content-based image retrieval techniques. The approach described here addresses the issues arising when the content is managed through a peer-to-peer architecture. In this case, the retrieval facilities are likely to be limited to queries based on unique identifiers or small sets of keywords, which may be quite inadequate, so we propose a novel algorithm for routing user queries that exploits compact representations of multimedia resources shared by each peer in order to dynamically adapt the network topology to peer interests on the basis of query interactions among users.","PeriodicalId":114866,"journal":{"name":"14th International Conference of Image Analysis and Processing - Workshops (ICIAPW 2007)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131086521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}