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Intelligent embedded image crop in document editing software. Disclosure Number: IPCOM000240020D
Publication Date: 2014-Dec-23
Document File: 2 page(s) / 25K

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The Prior Art Database


This article deals with a smart method to dynamically crop images in software editing products. According to the proposed solution the user will benefit of multiple versions of the same document that could be targeted to different situations.

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Intelligent embedded image crop in document editing software .

    While writing electronic document, users often need to add different contextual images into the document. The images are embedded in the document. Sometime, we can find, there are huge or unnecessary blank spaces are present in the image. In this case one image is embedded on the document, so it is wasting a huge amount of space, apart from the wastage of space, file size will be bulky and also does not look nice.

    With the existing methods, a user has to manually crop the document and then he can embed it in the document. This allows saving space for the document but probably could impact the readability of it or it could be not the recommended layout for printing or projecting the document.

    This article proposes a method and system by which embedded image objects can be cropped automatically based on contextual analysis of the image, and a set of rule defined by the user. According to this solution it will be the software installed in the device that will recommend the possible cropped area in the embedded image and accordingly will show a preview of text content re-orientation. Upon accepting or rejecting the recommendation, embedded image will be cropped and text will be re-oriented automatically.

    While recommending image crop area, the software implementing the method analyzes the image against the document background, blank spaces, user defined rule etc. The user has the option to accept or reject the recommendation, accordingly the text content may be re-oriented. The re-orientation can be configured to be previewed to the user before accepting it.

    The solution can be implemented through a pluggable component that can be installed on top of current editing software. The plug in will allow the user to define a set of rules for cropping and contextual analysis of the images. The cropping can be profiled to be performed in a logical or a physical way. In case of physical cropping, the image is really cropped and also from a binary point of view the document file reflects the actual image. In case of logical cropping, the behavior is targeted by the specific user preferences while the binary representation still have the original format. Moreover, in this case, the document behaves in a different way based on the specific client.

    The pluggable component can also be profiled to perform a different behavior based on the specifi...