Browse Prior Art Database

Method and System for Storing and Viewing Multi-Resolution Images

IP.com Disclosure Number: IPCOM000198365D
Publication Date: 2010-Aug-05
Document File: 3 page(s) / 38K

Publishing Venue

The IP.com Prior Art Database

Abstract

A method and system for storing and viewing a multi-resolution image is disclosed. The method involves saving areas of interest in an image in high resolution while saving the entire image in low resolution. Further, upon viewing the image, the areas of interest in the image are overlaid in high resolution on the entire image in low resolution.

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Method and System for Storing and Viewing Multi -Resolution Images

Disclosed is a method and system for storing and viewing multi-resolution image. The method involves loading an image selected by a user on a program and saving the image in low resolution. Thereafter, once the user selects areas of interest in the image, the areas of interest are saved in high resolution. Subsequently, when the user accesses the image, the entire image is displayed in low resolution with the areas of interest in the image being displayed in high resolution.

The method and system for storing and viewing multi-resolution images may be implemented as a program running on a web browser residing on a client side. Alternatively, the program may reside on a server side. In order to save the image, the user loads a high resolution image in the program as illustrated in Fig. 1.

Figure 1

Thereafter, the user may select areas of interest in the image. The areas of interest in the image correspond to various portions of the image. Upon selecting the areas of interest, the user may provide tags to the areas of interest. For example, the user may provide tags such as Jane and John to the areas of interest as illustrated in Fig. 2.

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Figure 2

Further, the user may provide tags to the areas of interest in order to index, search, or link images. Additionally, the areas of interest may be automatically selected by detecting them using software algorithms. For example, areas of interest such as human face, license plate are automatically selected by detecting them using a face detection algorithm, or license plate detection algorithms respectively. Thereafter, the areas of interest are saved in high resolution on a...