12/28/2023 0 Comments Image search engine listThe Euclidean distance has a nice property called the Coincidence Axiom, implying that the function returns a value of 0 (indicating perfect similarity) if and only if the two feature vectors are identical. Let’s think back to our similarity metrics for a second and assume that we are using the Euclidean distance. You may remember that when I wrote the How-To Guide on Building Your First Image Search engine, I included support for both internal and external queries. We simply apply our image descriptor, extract features, rank the images in our index based on similarity to the query, and return the most relevant results. We have never seen this query image before and we can’t make any assumptions about it. This is the equivalent to typing our text keywords into Google. The second type of query image is an external query image. We have already analyzed it, extracted features from it, and stored its feature vector. Query images come in two flavors: an internal query image and an external query image.Īs the name suggests, an internal query image already belongs in our index. Similarly, when we are building an image search engine, we need a query image. Google then took your query, analyzed it, and compared it to their gigantic index of webpages, ranked them, and returned the most relevant webpages back to you. The last time you went to Google, you typed in some keywords into the search box, right? The text you entered into the input form was your “query”. The Queryīefore we can perform a search, we need a query. Common choices for similarity functions include (but are certainly not limited to) the Euclidean, Manhattan, Cosine, and Chi-Squared distances.įinally, we are now ready to perform our last step in building an image search engine: Searching and Ranking. A distance function should accept two feature vectors and then return a value indicating how “similar” they are. Now, we need to define a method to compare our feature vectors. In Step 1, we defined a method to extract features from an image.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |