The paper addresses the problem of object search in video content. Both Query-By-Example paradigm and context search are explored. In QBE paradigm the object of in-terest is searched by matching of object signatures built from SURF descriptors with on-the-fly computed sig-natures in frames. The ”context ” search is understood as a query on the whole frame with features extracted after a region-based segmentation. Both kinds of fea-tures are transcribed in Bag-Of-Words framework. The combination of Bag-of-Visual-Words and Bag-of-Region-Words gives promising results in TRECVID’2011 In-stance Search Task
Abstract -Video indexing and retrieval have a wide spectrum of promising applications, motivating th...
The analysis of video for semantics presents significant advantages for many content-based applicati...
There are several different approaches to video retrieval wh-ich vary in sophistication, and in the ...
We describe an approach to object retrieval which searches for and localizes all the occurrences of ...
directions As digital video databases become more and more pervasive, finding video in large databas...
Promising new directions have been opened up for content-based visual retrieval in recent years. Obj...
Video retrieval is mostly based on using text from dialogue and this remains the most signi¯cant com...
In terms of volume, videos are becoming the largest big data. The sheer volume of video data demands...
Though both quantity and quality of semantic concept de-tection in video are continuously improving,...
This article presents an approach to object retrieval that searches for and localizes all the occurr...
We describe an approach to video object retrieval which enables all shots containing the object to b...
International audienceThis paper presents our approach and results in the Search and Anchoring in Vi...
Object-based retrieval is a modality for video retrieval based on segmenting objects from video and ...
International audienceIn this paper we tackle the issue of object instances retrieval in video repos...
This paper describes in detail VISIONE, a video search system that allows users to search for videos...
Abstract -Video indexing and retrieval have a wide spectrum of promising applications, motivating th...
The analysis of video for semantics presents significant advantages for many content-based applicati...
There are several different approaches to video retrieval wh-ich vary in sophistication, and in the ...
We describe an approach to object retrieval which searches for and localizes all the occurrences of ...
directions As digital video databases become more and more pervasive, finding video in large databas...
Promising new directions have been opened up for content-based visual retrieval in recent years. Obj...
Video retrieval is mostly based on using text from dialogue and this remains the most signi¯cant com...
In terms of volume, videos are becoming the largest big data. The sheer volume of video data demands...
Though both quantity and quality of semantic concept de-tection in video are continuously improving,...
This article presents an approach to object retrieval that searches for and localizes all the occurr...
We describe an approach to video object retrieval which enables all shots containing the object to b...
International audienceThis paper presents our approach and results in the Search and Anchoring in Vi...
Object-based retrieval is a modality for video retrieval based on segmenting objects from video and ...
International audienceIn this paper we tackle the issue of object instances retrieval in video repos...
This paper describes in detail VISIONE, a video search system that allows users to search for videos...
Abstract -Video indexing and retrieval have a wide spectrum of promising applications, motivating th...
The analysis of video for semantics presents significant advantages for many content-based applicati...
There are several different approaches to video retrieval wh-ich vary in sophistication, and in the ...