Surety is performing system maintenance this weekend. Electronic date stamps on new Prior Art Database disclosures may be delayed.
Browse Prior Art Database

Method to apply a selective zoom by determining zoom target

IP.com Disclosure Number: IPCOM000234105D
Publication Date: 2014-Jan-13
Document File: 2 page(s) / 302K

Publishing Venue

The IP.com Prior Art Database


Many smartphones allow photos, and other media, to be viewed on their screens. Often, these items can be zoomed into, too, for example by double-tapping a region of an image. Usually, the smartphone will try to center the area that you tapped, and zoom to some set level. Often it does a poor job of zooming to show some certain thing, not quite getting it right. For example, if you have a picture of several people, and double-tap to zoom in on someone, often it will slightly chop off their face, and you will have to pinch to zoom out slightly, since it is zoomed by 2x exactly. Disclosed is a novel solution to this problem, by determining what the user intended to zoom into, and only magnifying that portion of the image.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 61% of the total text.

Page 01 of 2

Method to apply a selective zoom by determining zoom target

The idea disclosed proposes using edge-finding algorithms to determine an appropriate zoom factor and area to keep a region of an image within the viewport of a phone's display.

    When a user double-taps a region of an image (shown in Fig. 2), the centre point of the tap is recorded. The image is converted to greyscale, and an edge-finding algorithm is used to define the edges clearly.

Users of the current solution may find themselves viewing an image such as shown in Fig. 1. Upon double-tapping a region, for example someone's face, to zoom in on that portion of the image, smartphones typically crop the image unsuitably. The problem shown in Fig. 1 is that the subject's face has been cropped, because the phone had no knowledge of the contents of the image.

    The idea operates as follows. A rectangle of the same ratio of the smartphone screen is defined with its centre point in the middle of the tapped region in Fig. 2, and its area is incrementally increased until the rectangle holds a complete edge in the image, while the zoom factor is between two predefined values, say


So, as in the above example, an edge might be identified as an eye, but the zoom

would not magnify the image that much, as the zoom factor would be 8x or so, so the algorithm will keep going, expanding the area that will fill the screen. Another edge will be identified, showing the contour of someone's face, with zoom 1.8x, and...