STREAMING MEDIA - Leveling the Playing Field for Small Business - Part II

Written by Don Rhodes

In part I of this series, I discussed streaming audio which isrepparttar most mature ofrepparttar 134641 streaming techniques. (If you missed it, see Just as surely as television followed radio,repparttar 134642 rapid advancement of Internet technology now makes it possible to add high resolution images to your audio presentations onrepparttar 134643 web; they can even be designed to that your images change with audio cues.

Let's backtrack for just a moment. Until recently,repparttar 134644 only way to change images on a web site was by usingrepparttar 134645 meta refresh tags or employing a Java applet. The meta refresh tag's reliability is highly dependent on connection speed, andrepparttar 134646 Java applet is very picky when it comes to choosingrepparttar 134647 browser with which it likes to work. And, more importantly, neither one of these can handle audio. Now, however, by usingrepparttar 134648 technology developed by RealNetworks, any number of images can be added to your audio presentations and streamed from your site. Visitors to your site are now able to view high resolution, quality pictures while enjoying near CD quality sound. Best of all, it streams smoothly over a 28.8 connection.

I have to issue a word of caution here. Don't confuse streaming slides with streaming video. There is a big difference! (Streaming video will berepparttar 134649 topic of Part III of this series.) Streaming slides consist of still images that can change over time or in sync with an audio script. You can utilize existing photos, graphic images, and quality line art for your slide show. (Most encoding companies will also be able to supply television type still graphics at a very low cost if you need assistance in that regard.) Due torepparttar 134650 flexibility of streaming slides, your sales presentations take on a whole new look and give your web site personality.

You can now show your products in an entirely different light. Instead of trying to describe unique and/or desirable features with only text or audio, you can actually zero in on those important selling points with pictures! (The old adage "A picture is worth a thousand words" takes on new meaning onrepparttar 134651 Internet.) Prospective buyers can now more closely examine products that are usually difficult to sell overrepparttar 134652 web, due torepparttar 134653 desire of consumers to "touch and feel." This adds a great deal of credibility to your sales pitch and to your web based business. (Items like antiques, furniture, sporting goods, and apparel fall easily into this category.)

Graphics Optimization

Written by Richard Lowe

Graphics images onrepparttar internet come in three major formats: GIF, JPEG and PNG (and PNG's close relation MNG). Each of these formats has it's associated advantages and disadvantages. It is important that you understand all three formats to makerepparttar 134640 correct decision as to which to use under what circumstances.

One ofrepparttar 134641 major factors to consider when choosing or using a graphics format isrepparttar 134642 size ofrepparttar 134643 resultant image file. In addition, you will need to understand how to optimize images in each format to be cognizant ofrepparttar 134644 results that you can gain.

What is image optimization? It is simply defined as findingrepparttar 134645 correct compression settings to makerepparttar 134646 image as small as possible with as little loss of resolution as you can get away with. Why is this necessary? Because it take time for images to be loaded (most people are accessingrepparttar 134647 internet over dialup connections, after all) and optimization reduces that time.

The first and most primitive graphics format is known as BMP, which means bit mapped. These kinds of images may not be compressed as they are simply an exact description of what is to be shown onrepparttar 134648 screen. Each pixel is represented by 3 bytes (red, blue and green), and each byte containsrepparttar 134649 color intensity of it's base color. This BMP images can be made up of 16 million colors. BMP files tend to be very large, and you don't see them directly on web pages very often. Where you will find them is in collections of wallpapers (wallpapers inrepparttar 134650 system directory must be in BMP format), desktop themes and similar things.Because BMP files were much too large for normal web browsing (especially several years ago when virtually every user was not only on a dialup connection, but was lucky to get 4800 or 9600 baud) other formats were invented. Two of these formats became dominant and are now found just about everywhere. These arerepparttar 134651 GIF and JPEG images types. The formats are extremely different and have widely separate applications. Your average web site will generally include a mixture of both formats, as each has their use.

GIF was created by CompuServe in 1987 for their online service. GIF images consist of no more than 256 colors, because each pixel is represented by a single 8-bit byte. This means that in order to convert a BMP image to a GIF image you have to discard all but 256 colors atrepparttar 134652 most!

Each GIF image has a description (known as a header) that definesrepparttar 134653 colors that will be used inrepparttar 134654 image. This allowsrepparttar 134655 colors to be assigned to a code which is what actually appears inrepparttar 134656 image. Thus,repparttar 134657 header might say "red is color #47, bluegreen is color #48" and so on. Later inrepparttar 134658 image,repparttar 134659 colors can be represented as "color #47 is used forrepparttar 134660 next 546 pixels".

Thusrepparttar 134661 optimization of GIF images is fairly straightforward and is handled by virtually every graphics program onrepparttar 134662 market. For example, Paint Shop Pro allows you to export an optimized GIF image with a very cool wizard to help you choose exactlyrepparttar 134663 best options. Usingrepparttar 134664 optimizer it is possible to reduce an image file size by 95% or more! This means a 100k image can be reduced to 5k or less by this method of optimization.

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