CIVR

The retrieval performance of content-based image retrieval (CBIR) systems is often disappointingly low, mainly due to the subjectivity of human perception. Relevance feedback (RF) has been widely considered as a powerful tool to enhance CBIR systems by ...

Content-based image retrieval with relevant feedback has been widely adopted as the query model of choice for improved effectiveness in image retrieval. The effectiveness of this solution, however, depends on the efficiency of the feedback mechanism. ...

Online image repositories such as Flickr contain hundreds of millions of images and are growing quickly. Along with that the needs for supporting indexing, searching and browsing is becoming more and more pressing. In this work we will employ the image ...

Automatic image annotation automatically labels image content with semantic keywords. For instance, the Relevance Model estimates the joint probability of the keyword and the image [3]. Most of the previous annotation methods assign keywords separately. ...

This paper deals with a new interest points detector. Unlike most standard detectors which concentrate on the local shape of the signal, the main objective of this new operator is to extract interpretable points from the image context. The basic ...

In the domain of candidly captured student presentation videos, we examine and evaluate approaches for multi-modal analysis and indexing of audio and video. We apply visual segmentation techniques on unedited video to determine likely changes of topics. ...

This paper proposes two automated methods for producing TV program trailers (short video clips to advertise the program). Program trailers are useful as the representative video of a content retrieval system that operates in a large archive of program ...

In this paper, we describe a fully automatic video retrieval prototype system that uses an image or a video sequence of an interested identity as probe. The system is based on face vision techniques including face detection and tracking, face alignment ...

We present in this article an efficient visuo-textual Web Image Retrieval system (WIR), which is the second best system according to the official European ImagEVAL 2006 campaign evaluation. It uses very simple tfidf textual analysis, and subband entropy ...

With Internet delivery of video content surging to an un-precedented level, video recommendation has become a very popular online service. The capability of recommending relevant videos to targeted users can alleviate users' efforts on finding the most ...

In this paper, we describe the SemanticVox project. SemanticVox aims at providing a real link between speech transcription technologies from Vecsys [8] based on LIMSI research [9] and multimedia documents analysis and retrieval technologies from the ...

In this paper we describe The MediaSquare, a 3D Multimedia Environment we are currently developing, where users are impersonated as avatars enabling them to browse and experience multimedia content by literally walking through it. Users may engage in ...

In this paper, we present the FOX-MIIRE 3D-Model Search Engine. Our search engine is based on Adaptive Views Vlustering (AVC) algorithm [4]. The AVC method uses statistical model distribution scores to select the optimal number of views to characterise ...

This demonstration presents a digital media retrieval system for searching large categories in different media databases. The core of our system is an interactive online classification based on user labeling. The classification is obtained with a ...

This paper presents a content-based copy detection (CBCD) technologies demonstrator. It is composed mainly of a graphical user interface connected to two existing CBCD systems (developed by INRIA and INA), one for still images and one for videos. The ...

Currently there are many systems available that use relevance feedback for text and image retrieval. This query by example method has been shown to optimize the search strategy whilst keeping a fast response time, two important factors when querying ...

Visual surveillance and activity analysis is an active research field of computer vision. As a result, there are several different algorithms produced for this purpose. To obtain more robust systems it is desirable to integrate the different algorithms. ...

We propose a system which permits to describe and structure audiovisual documents without training, nor corpus knowledge, and to visualize with an interface the principal interventions. It posts the most significant person list of the processed ...

This paper describes the technical details of SemRetriev, a prototype system for image retrieval which combines the use of an ontology which structures an image repository and of CBIR techniques. The system models a real-world situation by including ...

Nowadays, the automatic processing for 3D facial animation has been studied intensively and a variety of techniques has been proposed so far. For instance, some facial animation softwares are based on audio capture [5] and others are based on motion ...

In this paper, we describe the demonstration system in which a wooden 3D puzzle is assembled using an augmented reality system. The 3D puzzle emulated a simplified assembly task in a factory. We use the 3D puzzle as a means to study how to implement an ...

In this demo we present a novel approach for (a) automatic labeling and grouping of multimedia content using existing metadata and semantic concepts, and (b) interactive context driven tagging of clusters of multimedia content. Proposed system leverages ...

In this project (VIRSI) we investigate the promising content-based retrieval paradigm known as interactive search or relevance feedback, and aim to extend it through the use of synthetic imagery. In relevance feedback methods, the user himself is a key ...

Dynamic textures are common in natural scenes. Examples of dynamic textures in video include fire, smoke, clouds, trees in the wind, sky, sea and ocean waves etc. In this showcase, (i) we develop real-time dynamic texture detection methods in video and (...

Content-based image retrieval (CBIR) systems target database images using feature similarities with respect to the query. Our CBIR demonstration utilises novel illumination invariant features, which are extracted from Markov random field (MRF) based ...

In this paper, we develop a system to classify the outputs of image segmentation algorithms as perceptually relevant or perceptually irrelevant with respect to human perception. The work is aimed at figurative images. We previously investigated human ...

Multimedia content abstraction methods such as summarisation, skimming and browsing are of growing importance for the exploration of multimedia collections, complementing search and retrieval approaches. The methods proposed in literature differ in a ...

The automatic understanding of audiovisual content for multimedia retrieval is a difficult task, since the meaning respectively the appearance of a certain event or concept is strongly determined by contextual information. For example, the appearance of ...

Near-duplicate keyframes (NDK) play a unique role in large-scale video search, news topic detection and tracking. In this paper, we propose a novel NDK retrieval approach by exploring both visual and textual cues from the visual vocabulary and semantic ...

This paper describes an efficient approach to image annotation. It ranked first on the recent scene categorization track of the ImagEVAL¹ benchmark. We show how homogeneous global image descriptors combined with a pool of Support Vector Machines achieve ...