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Photo Management App

A Photo Management app for Adobe

A Photo Management app for Adobe

Today, anyone with a digital camera will end up with thousands of images on their computer within a short span of time. If the photos are not organised properly, it is difficult to find the needed photograph. All digital photographs have date and time information. Design a photo viewing and organising software that solely works on date & time information available in digital photographs. The proposed design should have a good photo viewing experience, and should also be easy to find photos. The application can either be a desktop client, or a RIA application hosted online.

Background Research

Image Organiser has played a very important role in the life of an photographer. It was started from the date when camera was introduced to people in the world. Continuous technological enhancement has changed the way of manipulating and organising of photographs, but the intention is still similar till today’s date and I hope it will be the same. There were different ways how people used to organise photographs. Few of these are as:

Using catalogues to search by keywords.
Indexing of Places and People.
Using series catalogue description to locate records.

Common Features of Image Organisers

Images can be organized in albums.
Albums can be organized into collections.
Adding tags, keywords, flags.
Thumbnail preview of multiple images all together.
Resizing, editing, exporting, sharing and printing.

Notable Different and Unique features

Backup creation and exporting meta data.
Internal search engine to find photos faster.
Editing and stitching of panoramic photographs.
Viewing and editing of Live Photographs.
Grouping of images and making a slideshow.
Cloud based technology for better accessibility.
Organising of photographs in multiple mechanisms.

Type of Image Organisers

Automatic image organisers

These are software packages that read data present in digital pictures and use this data to automatically create an organization structure. Each digital picture contains information about the date when the picture was taken. It is this piece of information that serves as the basis for automatic picture organization. The user usually has little or no control over the automatically created organization structure. Some tools create this structure on the hard drive (physical structure), while other tools create a virtual structure (it exists only within the tool).

Manual image organisers

This kind of software provides a direct view of the folders present on a user’s hard disk. Sometimes referred to as image viewers, they allow the user only to see the pictures but do not provide any automatic organization features. They give maximum flexibility to a user and show exactly what the user has created on his hard drive. While they provide maximum flexibility, manual organizers rely on the user to have his/her own method to organize their pictures. Currently there are two main methods for organizing pictures manually: tag and folder based methods. While not mutually exclusive, these methods are different in their methodology, outcome and purpose. Presently, many commercial image organizers offer both automatic and manual image organization features. A comparison of image viewers reveals that many free software packages are available that offer most of the organization features available in commercial software.

List of Available Image Organisers

Picasa, Digikam, iphoto, Photos, Xnview, Zoner Photo Studio, Shotwell, Picas, Shutterfly Studio, Geeqie, ACDsee, Lightroom, Fast Stone Image viewer, Coded Color Photostudio Pro, gThumb

Feature Mapping based on Problem Findings & Needs.

Easy and simple interface.
Image organizer should work differently not like a window to browse hard drive.
Importing and Referencing of images.
Map based image addressing.
Tag suggestions and location-based tag generation and image mapping.
Categorised and Un-categorised albums.
Timeline view for all photos and album browsing.
Feed from past – On this day.
Location-based tagging and Search.
Selecting and Giving rating to the best shot of similar photos.
Searching and Finding similar photos.
Converting of images to smaller in size and high-resolution versions.
Social Integration for better image organizing by face detection.
Folder and Images batch renaming.
Saving a photo after editing a photo.

Wireframes

Visual Designs