2010Unpublished venueRequires access

Context-Aware Image Annotation and Retrieval on Mobile Device

Shuangrong Xia, Xiangyang Gong, Wendong Wang, Ye Tian, Xiaogang Yang, Jian Ma

Open publisher page 8 citations

Abstract

In this paper, we present a novel method for image annotation and retrieval on mobile device by using contextual information. Image annotation is an effective way for content based image retrieval. However, manual annotation is an expensive and time consuming work, especially for mobile device. Here, we propose a semi-automatic way to give image annotation on mobile device. There are rich contexts for a mobile device, such as photo captured context, personal context and social network context. We synthesize these contexts and get useful semantic content of the photo. The synthesized results are treated as annotation suggestions. Our annotations include time, location, event, persons etc. We have implemented the annotation method in a prototype. The results show the method is simple and efficient.

About this research paper

What this paper is about

In this paper, we present a novel method for image annotation and retrieval on mobile device by using contextual information. Image annotation is an effective way for content based image retrieval. However, manual annotation is an expensive and time consuming work, especially for mobile device. Here, we propose a semi-automatic way to give image annotation on mobile device. There are rich contexts for a mobile device, such as photo captured context, personal context and social network context. We synthesize these contexts and get useful semantic content of the photo. The synthesized results are treated as annotation suggestions. Our annotations include time, location, event, persons etc. We have implemented the annotation method in a prototype. The results show the method is simple and efficient.

Why it matters

OpenAlex reports 8 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Available abstract

In this paper, we present a novel method for image annotation and retrieval on mobile device by using contextual information. Image annotation is an effective way for content based image retrieval. However, manual annotation is an expensive and time consuming work, especially for mobile device. Here, we propose a semi-automatic way to give image annotation on mobile device. There are rich contexts for a mobile device, such as photo captured context, personal context and social network context. We synthesize these contexts and get useful semantic content of the photo. The synthesized results are treated as annotation suggestions. Our annotations include time, location, event, persons etc. We have implemented the annotation method in a prototype. The results show the method is simple and efficient.

Key concepts: Annotation, Computer science, Automatic image annotation, Image retrieval, Information retrieval, Context (archaeology), Mobile device, Image (mathematics)

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