We introduce a novel query-to-modality mapping approach to the TRECVid 2010 known-Item video search (KIS) task. To search for a specific target video, a KIS query is verbose with many multi-modal attr...
We have developed an interactive video search system that allows the searcher to rapidly assess query results and easily pivot off those results to form new queries. The system is intended to maximize...
We have developed an interactive video search system that allows the searcher to rapidly assess query results and easily pivot o those results to form new queries. The system is intended to maximize t...
We describe the TNO system and the evaluation results for TRECVID 2013 Multimedia Event Detection (MED) and instance search (INS) tasks. The MED system consists of a bag-of-word (BOW) approach with sp...
We deal with the issue of combining dozens of classifiers into a better one. Our first contribution is the introduction of the notion of communities of classifiers. We build a complete graph with one ...
We deal with the issue of combining dozens of classifiers into a better one, for concept detection in videos. We compare three fusion approaches that share a common structure: they all start with a cl...
We deal with the issue of combining dozens of classifiers into a better one, for concept detection in videos. We compare three fusion approaches that share a common structure: they all start with a cl...
We conduct a broad survey of query-adaptive search strategies in a variety of application domains, where the internal retrieval mechanisms used for search are adapted in response to the anticipated ne...
We conduct a broad survey of query-adaptive search strategies in a variety of application domains, where the internal retrieval mechanisms used for search are adapted in response to the anticipated ne...
We combine in this paper automatic learning of a large lexicon of semantic concepts with traditional video retrieval methods into a novel approach to narrow the semantic gap. The core of the proposed ...
Visual information retrieval systems have gained importance due to the increasing amount of available digital multimedia data. Local features employing a bag of words approach from text retrieval have...
Visual concept detection is important to access visual information on the level of objects and scene types. The current state–of–the–art in visual concept detection and annotation tasks is based on th...
Videos are increasingly geotagged and used in practical and powerful GIS applications. However, video search and management operations are typically supported by manual textual annotations, which are ...
Video search has become a very important tool, with the ever-growing size of multimedia collections. This work introduces our Video Semantic Indexing system. Our experiments show that Residual Vectors...
Video retrieval – searching and retrieving videos relevant to a user defined query – is one of the most popular topics in both real life applications and multimedia research. This thesis employs conce...
Video producers, in telling a news story, tend to repeat important visual and speech material multiple times in adjacent shots, thus creating a certain level of redundancy. We describe this phenomenon...
Video is about to conquer the Internet. Real-time delivery of video content is technically possible to any desktop and mobile device, even with modest connections. The main problem hampering massive (...
Video event classification and retrieval has recently emerged as a challenging research topic. In addition to the variation in appearance of visual content and the large scale of the collections to be...
Video concept detection aims to detect high-level semantic information present in video. State-of-the-art systems are based on visual features and use machine learning to build concept detectors from ...
Video analysis is an important branch of computer vision due to its wide applications, ranging from video surveillance, video indexing, and retrieval to human computer interaction. All of the applicat...