Signature Image Search ends 1 March 2023
Deadline: 1 March 2023. The annual signature image is used on our marketing materials which includes posters (both in Banff and in over 40 countries on the World Tour), banners, website (Festival website as well as World Tour host sites), and any marketing materials including brochures, programs, and our Festival/World Tour magazine.
– Photos can be taken from anywhere in the world. Ideally taken in the past 5 years. See “Image Elements: What are we looking for?” section below.
– The photographer also receives far-reaching exposure to their work, and the chosen image will be featured prominently on our website along with the winner’s biography, plus the opportunity to attend screenings and events at the Festival.
The image can be taken from anywhere in the world, as long as it’s mountain-themed.
The photo has ideally been taken in the last 3-5 years.
Theme: The signature image reflects our mountain-themed Festival.
Concept: We look for an image that evokes passion and energy, has a dynamic and enticing landscape and/or features a mountain activity.
Orientation: The image must work well both vertically and horizontally. Most of our marketing materials are vertical (posters, banners, postcards, ads, etc.), but for web and video production, a horizontal orientation is preferred. Many of our winners have been horizontal originals that crop well vertically for marketing materials.
Clean: We incorporate the placement of numerous sponsor logos, so we are looking for images where these can be easily incorporated.
Exposure: Ideally, we would like an image that hasn’t already appeared in a national ad campaign or featured on a cover of a major magazine. However, if your image has already been used in other major publications/campaigns, please let us know just so we know it’s history and previous use. That would be appreciated, many thanks in advance.
We offer a payment of $3000 (CAD) for the selected image.
Photo Contest Website: https://www.banffcentre.ca/banffmountainfestival/sig_image_search