Sketch2Photo. Sketch2Photo: Internet Image Montage Tao Chen1 Ming-Ming Cheng1 Ping Tan2 Ariel Shamir3 Shi-Min Hu1 1TNList, Department of Computer Science and Technology, Tsinghua University 2National University of Singapore 3The Interdisciplinary Center Abstract We present a system that composes a realistic picture from a simple freehand sketch annotated with text labels.
The composed picture is generated by seamlessly stitching several photographs in agreement with the sketch and text labels; these are found by searching the Internet. Paper Sketch2Photo: Internet Image Montage ACM SIGGRAPH ASIA 2009, ACM Transactions on Graphics, to appear Tao Chen, Ming-Ming Cheng, Ping Tan, Ariel Shamir, Shi-Min Hu System Pipeline Retrieval Results Composition Results Video Supplementary Materials 1. General supplementary materials, including intermediate results and comparisons. 2. High resolution compositions and detailed statistics of the user studies. Sktech2Photo Team Acknowledgments Note Original Name: PhotoSketch. 10 Sites to Compare Google vs Bing Results Side By Side. Thankfully, the web doesn’t make us take sides.
We can have the best of every world. With the launch of Bing, we had another search engine to crawl the web with. A few months and millions of searches down the line, Bing has also built up its legion of users (and fans). It’s Google vs Bing now. The former is still The search engine while the latter calls itself a decision engine. But I would just like to sit on the ropes with all this because I am just an average user”¦more interested in getting the results I seek without getting into the algorithm of it all. Although as an average user, I can say that both search engines deliver different kinds of results. For instance, using the query “makeuseof.com” gave me more pointed results in Google. But there have been results which have come out as more useful for me in Bing as well. Even as the bouts go on, a lot of websites are cropping up around the Google vs Bing preoccupation.
Googawho Side by side searching with this plain Jane tool. Boounce. Home Page : Map Channels, free mapping tools. Content Based Visual Image Search : Tiltomo. FIST - Free Image Search Tool. Visual search tools. Definition: Some search engines display the results of your textual search in a graphical interface.
Tools: Carrot2: automatically clusterizes search results from various sources into thematic fields: "organizes your search results into topics. With an instant overview of what's available, you will quickly find what you're looking for" (Free, web-based)Casual: lets the user search for concepts or common words and displays the results in a cloud of related terms (Free, web-based)Cluuz: generates search results through spider-like graphs, images and clusters (Free, web-based)Clusty: web search and text clustering engine (see e.g. Resources: See Also:
The Best 3 Tools to Search for Images Online by Color. Advertisement Image search is evolving quickly.
Today you don’t even need to use words to search images. Now you can use colors!. That’s right you can search images by color. Let’s search the web for an autumn-like palette (yellow, red, brown) using the following 3 services. 1. PicItUp is a visual image search engine that combines word-based with color based search. Test it: search for [autumn] and choose any color from the left column (I chose yellow). Impressive, isn’t it? What the tool lacks: you can’t combine several colors to refine your search (for example you can’t search for a yellow-red palette) – you are only able to search for one color. 2. Unlike the above one, with the Flickr-based Multicolr service you can combine as many colors as you want. Test it: choose several colors and watch how the image list changes with each color added (I combined red and yellow): What the tool lacks:you can’t combine word-based and color-based searches with this service.