{"id":1431,"date":"2017-06-05T13:19:23","date_gmt":"2017-06-05T10:19:23","guid":{"rendered":"https:\/\/imagga.com\/blog\/?p=1431"},"modified":"2019-06-06T15:54:21","modified_gmt":"2019-06-06T12:54:21","slug":"image-recognition-powers-stock-photo-video-industry-today","status":"publish","type":"post","link":"https:\/\/imagga.com\/blog\/image-recognition-powers-stock-photo-video-industry-today\/","title":{"rendered":"How Image Recognition Powers the Stock Photo and Video Industry Today"},"content":{"rendered":"

Stock photography and videography have become popular work options for many visual professionals seeking freedom and creative expression. At the same time, royalty-free images and videos are constantly needed across industries: from advertising agencies to the marketing departments of a wide range of businesses across the globe. <\/span><\/p>\n

Besides creating the visual assets, stock contributors often need to take care of the technical details such as uploading, organizing and tagging with keywords the images and videos. Since success in the industry often means developing huge visual databases, this process can get time-consuming and tedious. \u00a0<\/span><\/p>\n

Forward-looking stock websites have started <\/span>embedding image recognition AI<\/span><\/a> in their platforms to address the need for faster and more efficient keyword tagging. <\/span>Tools like Qhero use image recognition to offer intelligent keywording<\/span><\/a> to stock contributors of major stock websites like iStock. Using Qhero is very easy, simply upload your photos and they choose for which one you want to receive AI generated tags based on image recognition. Then you can choose the keywords that match the description of the image or simply validate them all.\u00a0<\/span><\/p>\n

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How accurate are Artificial Intelligence suggested keywords?<\/h3>\n

Until recently, it was seen that image recognition cannot offer the high level of precision in keyword tagging that is expected. This led to the gradual adoption of computer vision for stock photo and video tagging. Today, the <\/span>power that AI image tagging offers<\/span><\/a> has changed this perception in the field. More and more stock photography and videography platforms are embedding AI to facilitate the process of keyword metadata enhancement.\u00a0<\/span>Here\u2019s how the advancements in image recognition are fueling the progress in the stock photo industry. <\/span><\/p>\n

Keyword suggestions for stock contributors<\/h3>\n

One of the main uses of image recognition AI is to help stock photo and video contributors describe their content with automatic keyword suggestions. Artificial Intelligence identifies the main objects, backgrounds, and themes in a visual. Then it generates <\/span>a set of keywords with very high accuracy<\/b>. <\/span><\/p>\n

The approach to keyword tagging adopted by stock websites is mostly semi-automated. Image recognition technologies like Imagga suggest relevant keywords. The contributor has to manually approve them so that they are attributed to the visual. <\/span><\/p>\n

Keyword suggestion powered by image recognition AI can save enormous amounts of time<\/b> for stock contributors uploading royalty-free photos, vector graphics, and videos. They often upload large volumes of visuals, which need to be properly tagged with keywords, so that they are discovered by buyers. It usually takes time for contributors to get a hold of good keyword tagging that will bring them sales. They also need to predict buying trends and adjust keyword tagging accordingly. By automating with an advanced technology like computer vision, this process can be facilitated and improved. <\/span><\/p>\n

Additionally, stock photography and videography websites have specific requirements on the number, quality, and theme of the tags. Contributors have to comply with these rules in order for a visual to go through the website\u2019s approval process. This can mean hundreds of hours of manual tagging, which makes automated keyword suggestions so precious for contributors. \u00a0<\/span><\/p>\n

Besides saving a ton of time, <\/span>keyword suggestions can save contributors money as well<\/b>. Some professional stock photographers are paying specialized agencies to manually tag their images with relevant keywords. With image recognition providing automatic keyword suggestions, they have a viable option to switch back to handling the tagging on their own. \u00a0<\/span><\/p>\n