An examination of automatic video retrieval technology on access to the contents of an historical video archive

Purpose – This paper aims to provide an initial understanding of the constraints that historical video collections pose to video retrieval technology and the potential that online access offers to both archive and users. Design/methodology/approach – A small and unique collection of videos on customs and folklore was used as a case study. Multiple methods were employed to investigate the effectiveness of technology and the modality of user access. Automatic keyframe extraction was tested on the visual content while the audio stream was used for automatic classification of speech and music clips. The user access (search vs browse) was assessed in a controlled user evaluation. A focus group and a survey provided insight on the actual use of the analogue archive. The results of these multiple studies were then compared and integrated (triangulation). Findings – The amateur material challenged automatic techniques for video and audio indexing, thus suggesting that the technology must be tested against the material before deciding on a digitisation strategy. Two user interaction modalities, browsing vs searching, were tested in a user evaluation. Results show users preferred searching, but browsing becomes essential when the search engine fails in matching query and indexed words. Browsing was also valued for serendipitous discovery; however the organisation of the archive was judged cryptic and therefore of limited use. This indicates that the categorisation of an online archive should be thought of in terms of users who might not understand the current classification. The focus group and the survey showed clearly the advantage of online access even when the quality of the video surrogate is poor. The evidence gathered suggests that the creation of a digital version of a video archive requires a rethinking of the collection in terms of the new medium: a new archive should be specially designed to exploit the potential that the digital medium offers. Similarly, users' needs have to be considered before designing the digital library interface, as needs are likely to be different from those imagined. Originality/value – This paper is the first attempt to understand the advantages offered and limitations held by video retrieval technology for small video archives like those often found in special collections

Digital Image Access & Retrieval

The 33th Annual Clinic on Library Applications of Data Processing, held at the University of Illinois at Urbana-Champaign in March of 1996, addressed the theme of "Digital Image Access & Retrieval." The papers from this conference cover a wide range of topics concerning digital imaging technology for visual resource collections. Papers covered three general areas: (1) systems, planning, and implementation; (2) automatic and semi-automatic indexing; and (3) preservation with the bulk of the conference focusing on indexing and retrieval.published or submitted for publicatio

CHORUS Deliverable 2.1: State of the Art on Multimedia Search Engines

Based on the information provided by European projects and national initiatives related to multimedia search as well as domains experts that participated in the CHORUS Think-thanks and workshops, this document reports on the state of the art related to multimedia content search from, a technical, and socio-economic perspective. The technical perspective includes an up to date view on content based indexing and retrieval technologies, multimedia search in the context of mobile devices and peer-to-peer networks, and an overview of current evaluation and benchmark inititiatives to measure the performance of multimedia search engines. From a socio-economic perspective we inventorize the impact and legal consequences of these technical advances and point out future directions of research

Image registration: Features and applications

Ph.DDOCTOR OF PHILOSOPH

Using contour information and segmentation for object registration, modeling and retrieval

This thesis considers different aspects of the utilization of contour information and syntactic and semantic image segmentation for object registration, modeling and retrieval in the context of content-based indexing and retrieval in large collections of images. Target applications include retrieval in collections of closed silhouettes, holistic w ord recognition in handwritten historical manuscripts and shape registration. Also, the thesis explores the feasibility of contour-based syntactic features for improving the correspondence of the output of bottom-up segmentation to semantic objects present in the scene and discusses the feasibility of different strategies for image analysis utilizing contour information, e.g. segmentation driven by visual features versus segmentation driven by shape models or semi-automatic in selected application scenarios. There are three contributions in this thesis. The first contribution considers structure analysis based on the shape and spatial configuration of image regions (socalled syntactic visual features) and their utilization for automatic image segmentation. The second contribution is the study of novel shape features, matching algorithms and similarity measures. Various applications of the proposed solutions are presented throughout the thesis providing the basis for the third contribution which is a discussion of the feasibility of different recognition strategies utilizing contour information. In each case, the performance and generality of the proposed approach has been analyzed based on extensive rigorous experimentation using as large as possible test collections

Special Libraries, October 1955

Volume 46, Issue 8https://scholarworks.sjsu.edu/sla_sl_1955/1007/thumbnail.jp

Multimedia

The nowadays ubiquitous and effortless digital data capture and processing capabilities offered by the majority of devices, lead to an unprecedented penetration of multimedia content in our everyday life. To make the most of this phenomenon, the rapidly increasing volume and usage of digitised content requires constant re-evaluation and adaptation of multimedia methodologies, in order to meet the relentless change of requirements from both the user and system perspectives. Advances in Multimedia provides readers with an overview of the ever-growing field of multimedia by bringing together various research studies and surveys from different subfields that point out such important aspects. Some of the main topics that this book deals with include: multimedia management in peer-to-peer structures & wireless networks, security characteristics in multimedia, semantic gap bridging for multimedia content and novel multimedia applications

Graph-based word spotting by inexact matching techniques

Al llarg d'aquest projecte s'ha desenvolupat un nou mètode de word spotting (localització de paraules) en què es té molt en compte l'estructura de les paraules a buscar. Aquestes tècniques consisteixen a trobar paraules escrites a mà, a partir d'un exemple. La tècnica presentada s'ha desenvolupat per utilitzar-la en documents antics. Seguidament, es presenta una indexació per tal d'accelerar el procés de cerca. Aquesta indexació consisteix a trobar ràpidament un conjunt de candidats on aplicar tècniques de word spotting en grans col·leccions de documents. Finalment, es mostra un exemple d'aplicació de les tècniques desenvolupades en una aplicació per a dispositius Android.A lo largo del proyecto se ha desarrollado un nuevo método de word spotting (localización de palabras) en el cual se tiene muy en consideración la estructura de las palabras a buscar. Estas técnicas consisten en encontrar palabras escritas a mano partiendo de un ejemplo. La técnica presentada se ha desarrollado utilizándola en documentos antiguos. Seguidamente, se presenta una indexación con el objetivo de acelerar el proceso de búsqueda. Esta indexación consiste en encontrar rápidamente un conjunto de candidatos donde aplicar técnicas de word spotting en grandes colecciones de documentos. Finalmente, se muestra un ejemplo de aplicación de la técnica desarrollada en una aplicación para dispositivos Android.Along this project a new method for word spotting (location of words) has been developed. This method has in mind the structure of the words to search. These techniques consist in finding handwritten words from a given example. The presented technique has been meant to be used in old documents. Afterwards an indexation process is presented to speed up the search step. This indexation is used to find a set of candidates in large document collections in order to apply word spotting techniques. Finally, an example application of the developed techniques is proposed for Android devices